Simultaneous segmentation and classification of 99mTc-DMSA renal scintigraphic images with a deep learning approach Article Swipe
Jiayi Wang
,
Mingyan Wu
,
Xiemei Ruan
,
Jiaying Zhang
,
Zhengguo Chen
,
Yihui Zhai
,
Hong Xu
,
Ha Wu
,
Jeff L. Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1186/s41824-024-00223-7
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1186/s41824-024-00223-7
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s41824-024-00223-7
- OA Status
- diamond
- Cited By
- 3
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403595827
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4403595827Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s41824-024-00223-7Digital Object Identifier
- Title
-
Simultaneous segmentation and classification of 99mTc-DMSA renal scintigraphic images with a deep learning approachWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-21Full publication date if available
- Authors
-
Jiayi Wang, Mingyan Wu, Xiemei Ruan, Jiaying Zhang, Zhengguo Chen, Yihui Zhai, Hong Xu, Ha Wu, Jeff L. ZhangList of authors in order
- Landing page
-
https://doi.org/10.1186/s41824-024-00223-7Publisher landing page
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.1186/s41824-024-00223-7Direct OA link when available
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Segmentation, Artificial intelligence, Computer science, Pattern recognition (psychology), Medicine, Radiology, Natural language processingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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27Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| best_oa_location.source.issn | 3005-074X |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 3005-074X |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | EJNMMI Reports |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | EJNMMI Reports |
| best_oa_location.landing_page_url | https://doi.org/10.1186/s41824-024-00223-7 |
| primary_location.id | doi:10.1186/s41824-024-00223-7 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S5407042887 |
| primary_location.source.issn | 3005-074X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 3005-074X |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | EJNMMI Reports |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | EJNMMI Reports |
| primary_location.landing_page_url | https://doi.org/10.1186/s41824-024-00223-7 |
| publication_date | 2024-10-21 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2072138863, https://openalex.org/W94386064, https://openalex.org/W2108598243, https://openalex.org/W2194775991, https://openalex.org/W2418539906, https://openalex.org/W2963150697, https://openalex.org/W2762198669, https://openalex.org/W1991946594, https://openalex.org/W2067929972, https://openalex.org/W2565639579, https://openalex.org/W3108891141, https://openalex.org/W4376613620, https://openalex.org/W1903029394, https://openalex.org/W2275638473, https://openalex.org/W2144506857, https://openalex.org/W1994177122, https://openalex.org/W2124109428, https://openalex.org/W4226279414, https://openalex.org/W2110764733, https://openalex.org/W1970540449, https://openalex.org/W2954996726, https://openalex.org/W2063033399, https://openalex.org/W2090396635, https://openalex.org/W639708223, https://openalex.org/W2508921645, https://openalex.org/W3176923149, https://openalex.org/W2395611524 |
| referenced_works_count | 27 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile.value | 0.70035231 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |