Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancer.
Saved in:
| Title: | Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancer. |
|---|---|
| Authors: | Wang CW; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan. Electronic address: cweiwang@mail.ntust.edu.tw., Muzakky H; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Chung YP; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Lai PJ; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Chao TK; Department of Pathology, Tri-Service General Hospital, Taipei, 114202, Taiwan; Institute of Pathology and Parasitology, National Defense Medical University, Taipei, 11490, Taiwan. Electronic address: chaotai.kuang@msa.hinet.net. |
| Source: | Medical image analysis [Med Image Anal] 2025 Dec; Vol. 106, pp. 103742. Date of Electronic Publication: 2025 Aug 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40779831 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang+CW%22">Wang CW</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan. Electronic address: cweiwang@mail.ntust.edu.tw.<br /><searchLink fieldCode="AU" term="%22Muzakky+H%22">Muzakky H</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chung+YP%22">Chung YP</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lai+PJ%22">Lai PJ</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chao+TK%22">Chao TK</searchLink>; Department of Pathology, Tri-Service General Hospital, Taipei, 114202, Taiwan; Institute of Pathology and Parasitology, National Defense Medical University, Taipei, 11490, Taiwan. Electronic address: chaotai.kuang@msa.hinet.net. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229713490%22">Medical image analysis</searchLink> [Med Image Anal] 2025 Dec; Vol. 106, pp. 103742. <i>Date of Electronic Publication: </i>2025 Aug 05. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9713490 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1361-8423 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213618415%22">13618415 </searchLink><i>NLM ISO Abbreviation: </i>Med Image Anal <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40779831 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.media.2025.103742 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 103742 Titles: – TitleFull: Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang CW – PersonEntity: Name: NameFull: Muzakky H – PersonEntity: Name: NameFull: Chung YP – PersonEntity: Name: NameFull: Lai PJ – PersonEntity: Name: NameFull: Chao TK IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2025 Dec Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1361-8423 Numbering: – Type: volume Value: 106 Titles: – TitleFull: Medical image analysis Type: main |
| ResultId | 1 |