An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation Article Swipe

PDF

Tianyi Ren , Ethan Honey , Harshitha Rebala , Abhishek Sharma , Agamdeep Chopra , Mehmet Kurt ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2402.07008

Tumor segmentation from multi-modal brain MRI images is a challenging task due to the limited samples, high variance in shapes and uneven distribution of tumor morphology. The performance of automated medical image segmentation has been significant improvement by the recent advances in deep learning. However, the model predictions have not yet reached the desired level for clinical use in terms of accuracy and generalizability. In order to address the distinct problems presented in Challenges 1, 2, and 3 of BraTS 2023, we have constructed an optimization framework based on a 3D U-Net model for brain tumor segmentation. This framework incorporates a range of techniques, including various pre-processing and post-processing techniques, and transfer learning. On the validation datasets, this multi-modality brain tumor segmentation framework achieves an average lesion-wise Dice score of 0.79, 0.72, 0.74 on Challenges 1, 2, 3 respectively.

Related Topics

Segmentation Fault

Computer Science

Artificial Intelligence

Machine Learning

Concepts

Transfer of learning Segmentation Computer science Artificial intelligence Machine learning

Metadata

Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2402.07008
PDF: https://arxiv.org/pdf/2402.07008
OA Status: green
Cited By: 2
Related Works: 10
OpenAlex ID: https://openalex.org/W4391800666

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4391800666

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.48550/arxiv.2402.07008

Digital Object Identifier
Title: An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation

Work title
Type: preprint

OpenAlex work type
Language: en

Primary language
Publication year: 2024

Year of publication
Publication date: 2024-02-10

Full publication date if available
Authors: Tianyi Ren, Ethan Honey, Harshitha Rebala, Abhishek Sharma, Agamdeep Chopra, Mehmet Kurt

List of authors in order
Landing page: https://arxiv.org/abs/2402.07008

Publisher landing page
PDF URL: https://arxiv.org/pdf/2402.07008

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://arxiv.org/pdf/2402.07008

Direct OA link when available
Concepts: Transfer of learning, Segmentation, Computer science, Artificial intelligence, Machine learning

Top concepts (fields/topics) attached by OpenAlex
Cited by: 2

Total citation count in OpenAlex
Citations by year (recent): 2025: 1, 2024: 1

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

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4391800666
doi	https://doi.org/10.48550/arxiv.2402.07008
ids.doi	https://doi.org/10.48550/arxiv.2402.07008
ids.openalex	https://openalex.org/W4391800666
fwci
type	preprint
title	An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
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	0.9757000207901001
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	0.9287999868392944
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/C150899416
concepts[0].level	2
concepts[0].score	0.649417519569397
concepts[0].wikidata	https://www.wikidata.org/wiki/Q1820378
concepts[0].display_name	Transfer of learning
concepts[1].id	https://openalex.org/C89600930
concepts[1].level	2
concepts[1].score	0.5940456390380859
concepts[1].wikidata	https://www.wikidata.org/wiki/Q1423946
concepts[1].display_name	Segmentation
concepts[2].id	https://openalex.org/C41008148
concepts[2].level	0
concepts[2].score	0.5709507465362549
concepts[2].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[2].display_name	Computer science
concepts[3].id	https://openalex.org/C154945302
concepts[3].level	1
concepts[3].score	0.5106049180030823
concepts[3].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[3].display_name	Artificial intelligence
concepts[4].id	https://openalex.org/C119857082
concepts[4].level	1
concepts[4].score	0.33369848132133484
concepts[4].wikidata	https://www.wikidata.org/wiki/Q2539
concepts[4].display_name	Machine learning
keywords[0].id	https://openalex.org/keywords/transfer-of-learning
keywords[0].score	0.649417519569397
keywords[0].display_name	Transfer of learning
keywords[1].id	https://openalex.org/keywords/segmentation
keywords[1].score	0.5940456390380859
keywords[1].display_name	Segmentation
keywords[2].id	https://openalex.org/keywords/computer-science
keywords[2].score	0.5709507465362549
keywords[2].display_name	Computer science
keywords[3].id	https://openalex.org/keywords/artificial-intelligence
keywords[3].score	0.5106049180030823
keywords[3].display_name	Artificial intelligence
keywords[4].id	https://openalex.org/keywords/machine-learning
keywords[4].score	0.33369848132133484
keywords[4].display_name	Machine learning
language	en
locations[0].id	pmh:oai:arXiv.org:2402.07008
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4306400194
locations[0].source.issn
locations[0].source.type	repository
locations[0].source.is_oa	True
locations[0].source.issn_l
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	arXiv (Cornell University)
locations[0].source.host_organization	https://openalex.org/I205783295
locations[0].source.host_organization_name	Cornell University
locations[0].source.host_organization_lineage	https://openalex.org/I205783295
locations[0].license
locations[0].pdf_url	https://arxiv.org/pdf/2402.07008
locations[0].version	submittedVersion
locations[0].raw_type	text
locations[0].license_id
locations[0].is_accepted	False
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	http://arxiv.org/abs/2402.07008
locations[1].id	doi:10.48550/arxiv.2402.07008
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306400194
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	True
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	arXiv (Cornell University)
locations[1].source.host_organization	https://openalex.org/I205783295
locations[1].source.host_organization_name	Cornell University
locations[1].source.host_organization_lineage	https://openalex.org/I205783295
locations[1].license	cc-by
locations[1].pdf_url
locations[1].version
locations[1].raw_type	article
locations[1].license_id	https://openalex.org/licenses/cc-by
locations[1].is_accepted	False
locations[1].is_published
locations[1].raw_source_name
locations[1].landing_page_url	https://doi.org/10.48550/arxiv.2402.07008
indexed_in	arxiv, datacite
authorships[0].author.id	https://openalex.org/A5101304615
authorships[0].author.orcid
authorships[0].author.display_name	Tianyi Ren
authorships[0].author_position	first
authorships[0].raw_author_name	Ren, Tianyi
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5093925775
authorships[1].author.orcid
authorships[1].author.display_name	Ethan Honey
authorships[1].author_position	middle
authorships[1].raw_author_name	Honey, Ethan
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5093925776
authorships[2].author.orcid
authorships[2].author.display_name	Harshitha Rebala
authorships[2].author_position	middle
authorships[2].raw_author_name	Rebala, Harshitha
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5101620262
authorships[3].author.orcid	https://orcid.org/0000-0002-5205-7653
authorships[3].author.display_name	Abhishek Sharma
authorships[3].author_position	middle
authorships[3].raw_author_name	Sharma, Abhishek
authorships[3].is_corresponding	False
authorships[4].author.id	https://openalex.org/A5008567047
authorships[4].author.orcid
authorships[4].author.display_name	Agamdeep Chopra
authorships[4].author_position	middle
authorships[4].raw_author_name	Chopra, Agamdeep
authorships[4].is_corresponding	False
authorships[5].author.id	https://openalex.org/A5018816064
authorships[5].author.orcid	https://orcid.org/0000-0002-7308-5661
authorships[5].author.display_name	Mehmet Kurt
authorships[5].author_position	last
authorships[5].raw_author_name	Kurt, Mehmet
authorships[5].is_corresponding	False
has_content.pdf	False
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://arxiv.org/pdf/2402.07008
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2024-02-14T00:00:00
display_name	An Optimization Framework for Processing and Transfer Learning for the Brain Tumor 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	0.9757000207901001
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/W2961085424, https://openalex.org/W4306674287, https://openalex.org/W3046775127, https://openalex.org/W3107602296, https://openalex.org/W3170094116, https://openalex.org/W4386462264, https://openalex.org/W3209574120, https://openalex.org/W4364306694, https://openalex.org/W4312192474, https://openalex.org/W4283697347
cited_by_count	2
counts_by_year[0].year	2025
counts_by_year[0].cited_by_count	1
counts_by_year[1].year	2024
counts_by_year[1].cited_by_count	1
locations_count	2
best_oa_location.id	pmh:oai:arXiv.org:2402.07008
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4306400194
best_oa_location.source.issn
best_oa_location.source.type	repository
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	arXiv (Cornell University)
best_oa_location.source.host_organization	https://openalex.org/I205783295
best_oa_location.source.host_organization_name	Cornell University
best_oa_location.source.host_organization_lineage	https://openalex.org/I205783295
best_oa_location.license
best_oa_location.pdf_url	https://arxiv.org/pdf/2402.07008
best_oa_location.version	submittedVersion
best_oa_location.raw_type	text
best_oa_location.license_id
best_oa_location.is_accepted	False
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	http://arxiv.org/abs/2402.07008
primary_location.id	pmh:oai:arXiv.org:2402.07008
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4306400194
primary_location.source.issn
primary_location.source.type	repository
primary_location.source.is_oa	True
primary_location.source.issn_l
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	arXiv (Cornell University)
primary_location.source.host_organization	https://openalex.org/I205783295
primary_location.source.host_organization_name	Cornell University
primary_location.source.host_organization_lineage	https://openalex.org/I205783295
primary_location.license
primary_location.pdf_url	https://arxiv.org/pdf/2402.07008
primary_location.version	submittedVersion
primary_location.raw_type	text
primary_location.license_id
primary_location.is_accepted	False
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	http://arxiv.org/abs/2402.07008
publication_date	2024-02-10
publication_year	2024
referenced_works_count	0
abstract_inverted_index.3	77, 137
abstract_inverted_index.a	8, 89, 100
abstract_inverted_index.1,	74, 135
abstract_inverted_index.2,	75, 136
abstract_inverted_index.3D	90
abstract_inverted_index.In	64
abstract_inverted_index.On	113
abstract_inverted_index.an	84, 124
abstract_inverted_index.by	37
abstract_inverted_index.in	18, 41, 58, 72
abstract_inverted_index.is	7
abstract_inverted_index.of	23, 28, 60, 78, 102, 129
abstract_inverted_index.on	88, 133
abstract_inverted_index.to	12, 66
abstract_inverted_index.we	81
abstract_inverted_index.MRI	5
abstract_inverted_index.The	26
abstract_inverted_index.and	20, 62, 76, 107, 110
abstract_inverted_index.due	11
abstract_inverted_index.for	55, 93
abstract_inverted_index.has	33
abstract_inverted_index.not	49
abstract_inverted_index.the	13, 38, 45, 52, 68, 114
abstract_inverted_index.use	57
abstract_inverted_index.yet	50
abstract_inverted_index.0.74	132
abstract_inverted_index.Dice	127
abstract_inverted_index.This	97
abstract_inverted_index.been	34
abstract_inverted_index.deep	42
abstract_inverted_index.from	2
abstract_inverted_index.have	48, 82
abstract_inverted_index.high	16
abstract_inverted_index.task	10
abstract_inverted_index.this	117
abstract_inverted_index.0.72,	131
abstract_inverted_index.0.79,	130
abstract_inverted_index.2023,	80
abstract_inverted_index.BraTS	79
abstract_inverted_index.Tumor	0
abstract_inverted_index.U-Net	91
abstract_inverted_index.based	87
abstract_inverted_index.brain	4, 94, 119
abstract_inverted_index.image	31
abstract_inverted_index.level	54
abstract_inverted_index.model	46, 92
abstract_inverted_index.order	65
abstract_inverted_index.range	101
abstract_inverted_index.score	128
abstract_inverted_index.terms	59
abstract_inverted_index.tumor	24, 95, 120
abstract_inverted_index.images	6
abstract_inverted_index.recent	39
abstract_inverted_index.shapes	19
abstract_inverted_index.uneven	21
abstract_inverted_index.address	67
abstract_inverted_index.average	125
abstract_inverted_index.desired	53
abstract_inverted_index.limited	14
abstract_inverted_index.medical	30
abstract_inverted_index.reached	51
abstract_inverted_index.various	105
abstract_inverted_index.However,	44
abstract_inverted_index.accuracy	61
abstract_inverted_index.achieves	123
abstract_inverted_index.advances	40
abstract_inverted_index.clinical	56
abstract_inverted_index.distinct	69
abstract_inverted_index.problems	70
abstract_inverted_index.samples,	15
abstract_inverted_index.transfer	111
abstract_inverted_index.variance	17
abstract_inverted_index.automated	29
abstract_inverted_index.datasets,	116
abstract_inverted_index.framework	86, 98, 122
abstract_inverted_index.including	104
abstract_inverted_index.learning.	43, 112
abstract_inverted_index.presented	71
abstract_inverted_index.Challenges	73, 134
abstract_inverted_index.validation	115
abstract_inverted_index.challenging	9
abstract_inverted_index.constructed	83
abstract_inverted_index.improvement	36
abstract_inverted_index.lesion-wise	126
abstract_inverted_index.morphology.	25
abstract_inverted_index.multi-modal	3
abstract_inverted_index.performance	27
abstract_inverted_index.predictions	47
abstract_inverted_index.significant	35
abstract_inverted_index.techniques,	103, 109
abstract_inverted_index.distribution	22
abstract_inverted_index.incorporates	99
abstract_inverted_index.optimization	85
abstract_inverted_index.segmentation	1, 32, 121
abstract_inverted_index.respectively.	138
abstract_inverted_index.segmentation.	96
abstract_inverted_index.multi-modality	118
abstract_inverted_index.pre-processing	106
abstract_inverted_index.post-processing	108
abstract_inverted_index.generalizability.	63
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	6
citation_normalized_percentile