Medical Image Segmentation Article Swipe

PDF

Arpit Mohankar , Aishwarya Nagpure , Saad Shaikh , Khushi Singh , Faiq Shaikh ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.47392/irjaeh.2024.0353

Medical image segmentation is a critical component in the development of computer-aided diagnosis and treatment planning systems. This paper provides a comprehensive survey of recent advances in segmentation techniques applied to various imaging modalities, including Magnetic Resonance Imaging (MRI). Traditional methods such as thresholding, region-growing, and active contours are reviewed alongside contemporary machine learning-based approaches, particularly deep learning models. The survey emphasizes the growing dominance of convolutional neural networks (CNNs) and their variants, including U-Net and Fully Convolutional Networks (FCNs), which have shown remarkable success in handling complex medical imaging challenges. Additionally, the paper discusses hybrid methods that combine classical techniques with artificial intelligence to improve accuracy and robustness in segmentation tasks. Key challenges such as class imbalance, boundary delineation, and computational efficiency are also highlighted. Future directions, including the integration of multi-modal data and advancements in self-supervised learning, are explored as potential solutions to overcome current limitations in medical image segmentation.

Related Topics

Artificial Intelligence

Concepts

Artificial intelligence Computer vision Computer science Image segmentation Medicine Image (mathematics)

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.47392/irjaeh.2024.0353
PDF: https://irjaeh.com/index.php/journal/article/download/416/378
OA Status: diamond
Cited By: 6
Related Works: 10
OpenAlex ID: https://openalex.org/W4404417527

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4404417527

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.47392/irjaeh.2024.0353

Digital Object Identifier
Title: Medical Image Segmentation

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2024

Year of publication
Publication date: 2024-11-15

Full publication date if available
Authors: Arpit Mohankar, Aishwarya Nagpure, Saad Shaikh, Khushi Singh, Faiq Shaikh

List of authors in order
Landing page: https://doi.org/10.47392/irjaeh.2024.0353

Publisher landing page
PDF URL: https://irjaeh.com/index.php/journal/article/download/416/378

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: diamond

Open access status per OpenAlex
OA URL: https://irjaeh.com/index.php/journal/article/download/416/378

Direct OA link when available
Concepts: Artificial intelligence, Computer vision, Computer science, Image segmentation, Medicine, Image (mathematics)

Top concepts (fields/topics) attached by OpenAlex
Cited by: 6

Total citation count in OpenAlex
Citations by year (recent): 2025: 1, 2020: 1, 2018: 1, 2014: 2

Per-year citation counts (last 5 years)
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4404417527
doi	https://doi.org/10.47392/irjaeh.2024.0353
ids.doi	https://doi.org/10.47392/irjaeh.2024.0353
ids.openalex	https://openalex.org/W4404417527
fwci	0.51754831
type	article
title	Medical Image Segmentation
biblio.issue	11
biblio.volume	2
biblio.last_page	2574
biblio.first_page	2569
topics[0].id	https://openalex.org/T12702
topics[0].field.id	https://openalex.org/fields/28
topics[0].field.display_name	Neuroscience
topics[0].score	0.8777999877929688
topics[0].domain.id	https://openalex.org/domains/1
topics[0].domain.display_name	Life Sciences
topics[0].subfield.id	https://openalex.org/subfields/2808
topics[0].subfield.display_name	Neurology
topics[0].display_name	Brain Tumor Detection and Classification
topics[1].id	https://openalex.org/T10052
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.7738000154495239
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/1707
topics[1].subfield.display_name	Computer Vision and Pattern Recognition
topics[1].display_name	Medical Image Segmentation Techniques
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C154945302
concepts[0].level	1
concepts[0].score	0.5641345977783203
concepts[0].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[0].display_name	Artificial intelligence
concepts[1].id	https://openalex.org/C31972630
concepts[1].level	1
concepts[1].score	0.5131283402442932
concepts[1].wikidata	https://www.wikidata.org/wiki/Q844240
concepts[1].display_name	Computer vision
concepts[2].id	https://openalex.org/C41008148
concepts[2].level	0
concepts[2].score	0.46855100989341736
concepts[2].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[2].display_name	Computer science
concepts[3].id	https://openalex.org/C124504099
concepts[3].level	3
concepts[3].score	0.4176868796348572
concepts[3].wikidata	https://www.wikidata.org/wiki/Q56933
concepts[3].display_name	Image segmentation
concepts[4].id	https://openalex.org/C71924100
concepts[4].level	0
concepts[4].score	0.3766034245491028
concepts[4].wikidata	https://www.wikidata.org/wiki/Q11190
concepts[4].display_name	Medicine
concepts[5].id	https://openalex.org/C115961682
concepts[5].level	2
concepts[5].score	0.33527135848999023
concepts[5].wikidata	https://www.wikidata.org/wiki/Q860623
concepts[5].display_name	Image (mathematics)
keywords[0].id	https://openalex.org/keywords/artificial-intelligence
keywords[0].score	0.5641345977783203
keywords[0].display_name	Artificial intelligence
keywords[1].id	https://openalex.org/keywords/computer-vision
keywords[1].score	0.5131283402442932
keywords[1].display_name	Computer vision
keywords[2].id	https://openalex.org/keywords/computer-science
keywords[2].score	0.46855100989341736
keywords[2].display_name	Computer science
keywords[3].id	https://openalex.org/keywords/image-segmentation
keywords[3].score	0.4176868796348572
keywords[3].display_name	Image segmentation
keywords[4].id	https://openalex.org/keywords/medicine
keywords[4].score	0.3766034245491028
keywords[4].display_name	Medicine
keywords[5].id	https://openalex.org/keywords/image
keywords[5].score	0.33527135848999023
keywords[5].display_name	Image (mathematics)
language	en
locations[0].id	doi:10.47392/irjaeh.2024.0353
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S5407010578
locations[0].source.issn	2584-2137
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2584-2137
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	International Research Journal on Advanced Engineering Hub (IRJAEH)
locations[0].source.host_organization
locations[0].source.host_organization_name
locations[0].license	cc-by-nc
locations[0].pdf_url	https://irjaeh.com/index.php/journal/article/download/416/378
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id	https://openalex.org/licenses/cc-by-nc
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	International Research Journal on Advanced Engineering Hub (IRJAEH)
locations[0].landing_page_url	https://doi.org/10.47392/irjaeh.2024.0353
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5114661880
authorships[0].author.orcid
authorships[0].author.display_name	Arpit Mohankar
authorships[0].affiliations[0].raw_affiliation_string	UG Scholar, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[0].author_position	first
authorships[0].raw_author_name	None Arpit Mohankar
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	UG Scholar, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[1].author.id	https://openalex.org/A5114661881
authorships[1].author.orcid
authorships[1].author.display_name	Aishwarya Nagpure
authorships[1].affiliations[0].raw_affiliation_string	UG Scholar, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[1].author_position	middle
authorships[1].raw_author_name	None Aishwarya Nagpure
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	UG Scholar, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[2].author.id	https://openalex.org/A5101519770
authorships[2].author.orcid	https://orcid.org/0000-0003-1924-7903
authorships[2].author.display_name	Saad Shaikh
authorships[2].affiliations[0].raw_affiliation_string	UG Scholar, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[2].author_position	middle
authorships[2].raw_author_name	None Sania Shaikh
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	UG Scholar, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[3].author.id	https://openalex.org/A5109782971
authorships[3].author.orcid	https://orcid.org/0009-0009-1098-9979
authorships[3].author.display_name	Khushi Singh
authorships[3].affiliations[0].raw_affiliation_string	UG Scholar, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[3].author_position	middle
authorships[3].raw_author_name	None Khushi Singh
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	UG Scholar, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[4].author.id	https://openalex.org/A5018577308
authorships[4].author.orcid	https://orcid.org/0000-0003-4239-8638
authorships[4].author.display_name	Faiq Shaikh
authorships[4].affiliations[0].raw_affiliation_string	Assistant Professor, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
authorships[4].author_position	last
authorships[4].raw_author_name	None Firdous Jahan Shaikh
authorships[4].is_corresponding	False
authorships[4].raw_affiliation_strings	Assistant Professor, Dept. of AI&DS, Rajiv Gandhi Institute of Tech., Mumbai, Maharashtra, India.
has_content.pdf	True
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://irjaeh.com/index.php/journal/article/download/416/378
open_access.oa_status	diamond
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Medical Image Segmentation
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T06:51:31.235846
primary_topic.id	https://openalex.org/T12702
primary_topic.field.id	https://openalex.org/fields/28
primary_topic.field.display_name	Neuroscience
primary_topic.score	0.8777999877929688
primary_topic.domain.id	https://openalex.org/domains/1
primary_topic.domain.display_name	Life Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2808
primary_topic.subfield.display_name	Neurology
primary_topic.display_name	Brain Tumor Detection and Classification
related_works	https://openalex.org/W2772917594, https://openalex.org/W2036807459, https://openalex.org/W2058170566, https://openalex.org/W2755342338, https://openalex.org/W2166024367, https://openalex.org/W3116076068, https://openalex.org/W2229312674, https://openalex.org/W2951359407, https://openalex.org/W2079911747, https://openalex.org/W1969923398
cited_by_count	6
counts_by_year[0].year	2025
counts_by_year[0].cited_by_count	1
counts_by_year[1].year	2020
counts_by_year[1].cited_by_count	1
counts_by_year[2].year	2018
counts_by_year[2].cited_by_count	1
counts_by_year[3].year	2014
counts_by_year[3].cited_by_count	2
locations_count	1
best_oa_location.id	doi:10.47392/irjaeh.2024.0353
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S5407010578
best_oa_location.source.issn	2584-2137
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2584-2137
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	International Research Journal on Advanced Engineering Hub (IRJAEH)
best_oa_location.source.host_organization
best_oa_location.source.host_organization_name
best_oa_location.license	cc-by-nc
best_oa_location.pdf_url	https://irjaeh.com/index.php/journal/article/download/416/378
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by-nc
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	International Research Journal on Advanced Engineering Hub (IRJAEH)
best_oa_location.landing_page_url	https://doi.org/10.47392/irjaeh.2024.0353
primary_location.id	doi:10.47392/irjaeh.2024.0353
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S5407010578
primary_location.source.issn	2584-2137
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2584-2137
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	International Research Journal on Advanced Engineering Hub (IRJAEH)
primary_location.source.host_organization
primary_location.source.host_organization_name
primary_location.license	cc-by-nc
primary_location.pdf_url	https://irjaeh.com/index.php/journal/article/download/416/378
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id	https://openalex.org/licenses/cc-by-nc
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	International Research Journal on Advanced Engineering Hub (IRJAEH)
primary_location.landing_page_url	https://doi.org/10.47392/irjaeh.2024.0353
publication_date	2024-11-15
publication_year	2024
referenced_works_count	0
abstract_inverted_index.a	4, 20
abstract_inverted_index.as	42, 115, 141
abstract_inverted_index.in	7, 26, 85, 109, 136, 148
abstract_inverted_index.is	3
abstract_inverted_index.of	10, 23, 65, 131
abstract_inverted_index.to	30, 104, 144
abstract_inverted_index.Key	112
abstract_inverted_index.The	59
abstract_inverted_index.and	13, 45, 70, 75, 107, 120, 134
abstract_inverted_index.are	48, 123, 139
abstract_inverted_index.the	8, 62, 92, 129
abstract_inverted_index.This	17
abstract_inverted_index.also	124
abstract_inverted_index.data	133
abstract_inverted_index.deep	56
abstract_inverted_index.have	81
abstract_inverted_index.such	41, 114
abstract_inverted_index.that	97
abstract_inverted_index.with	101
abstract_inverted_index.Fully	76
abstract_inverted_index.U-Net	74
abstract_inverted_index.class	116
abstract_inverted_index.image	1, 150
abstract_inverted_index.paper	18, 93
abstract_inverted_index.shown	82
abstract_inverted_index.their	71
abstract_inverted_index.which	80
abstract_inverted_index.(CNNs)	69
abstract_inverted_index.(MRI).	38
abstract_inverted_index.Future	126
abstract_inverted_index.active	46
abstract_inverted_index.hybrid	95
abstract_inverted_index.neural	67
abstract_inverted_index.recent	24
abstract_inverted_index.survey	22, 60
abstract_inverted_index.tasks.	111
abstract_inverted_index.(FCNs),	79
abstract_inverted_index.Imaging	37
abstract_inverted_index.Medical	0
abstract_inverted_index.applied	29
abstract_inverted_index.combine	98
abstract_inverted_index.complex	87
abstract_inverted_index.current	146
abstract_inverted_index.growing	63
abstract_inverted_index.imaging	32, 89
abstract_inverted_index.improve	105
abstract_inverted_index.machine	52
abstract_inverted_index.medical	88, 149
abstract_inverted_index.methods	40, 96
abstract_inverted_index.models.	58
abstract_inverted_index.success	84
abstract_inverted_index.various	31
abstract_inverted_index.Magnetic	35
abstract_inverted_index.Networks	78
abstract_inverted_index.accuracy	106
abstract_inverted_index.advances	25
abstract_inverted_index.boundary	118
abstract_inverted_index.contours	47
abstract_inverted_index.critical	5
abstract_inverted_index.explored	140
abstract_inverted_index.handling	86
abstract_inverted_index.learning	57
abstract_inverted_index.networks	68
abstract_inverted_index.overcome	145
abstract_inverted_index.planning	15
abstract_inverted_index.provides	19
abstract_inverted_index.reviewed	49
abstract_inverted_index.systems.	16
abstract_inverted_index.Resonance	36
abstract_inverted_index.alongside	50
abstract_inverted_index.classical	99
abstract_inverted_index.component	6
abstract_inverted_index.diagnosis	12
abstract_inverted_index.discusses	94
abstract_inverted_index.dominance	64
abstract_inverted_index.including	34, 73, 128
abstract_inverted_index.learning,	138
abstract_inverted_index.potential	142
abstract_inverted_index.solutions	143
abstract_inverted_index.treatment	14
abstract_inverted_index.variants,	72
abstract_inverted_index.artificial	102
abstract_inverted_index.challenges	113
abstract_inverted_index.efficiency	122
abstract_inverted_index.emphasizes	61
abstract_inverted_index.imbalance,	117
abstract_inverted_index.remarkable	83
abstract_inverted_index.robustness	108
abstract_inverted_index.techniques	28, 100
abstract_inverted_index.Traditional	39
abstract_inverted_index.approaches,	54
abstract_inverted_index.challenges.	90
abstract_inverted_index.development	9
abstract_inverted_index.directions,	127
abstract_inverted_index.integration	130
abstract_inverted_index.limitations	147
abstract_inverted_index.modalities,	33
abstract_inverted_index.multi-modal	132
abstract_inverted_index.advancements	135
abstract_inverted_index.contemporary	51
abstract_inverted_index.delineation,	119
abstract_inverted_index.highlighted.	125
abstract_inverted_index.intelligence	103
abstract_inverted_index.particularly	55
abstract_inverted_index.segmentation	2, 27, 110
abstract_inverted_index.Additionally,	91
abstract_inverted_index.Convolutional	77
abstract_inverted_index.comprehensive	21
abstract_inverted_index.computational	121
abstract_inverted_index.convolutional	66
abstract_inverted_index.segmentation.	151
abstract_inverted_index.thresholding,	43
abstract_inverted_index.computer-aided	11
abstract_inverted_index.learning-based	53
abstract_inverted_index.region-growing,	44
abstract_inverted_index.self-supervised	137
cited_by_percentile_year.max	96
cited_by_percentile_year.min	89
countries_distinct_count	0
institutions_distinct_count	5
citation_normalized_percentile.value	0.63882628
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False