Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides.

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Title: Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides.
Authors: Wang CW; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. cweiwang@mail.ntust.edu.tw., Firdi NP; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Lee YC; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Chu TC; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Muzakky H; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Liu TC; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Lai PJ; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Chao TK; Institute of Pathology and Parasitology, National Defense Medical Center, Taipei, Taiwan. chaotai.kuang@msa.hinet.net.; Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan. chaotai.kuang@msa.hinet.net.
Source: NPJ precision oncology [NPJ Precis Oncol] 2024 Dec 21; Vol. 8 (1), pp. 287. Date of Electronic Publication: 2024 Dec 21.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101708166 Publication Model: Electronic Cited Medium: Print ISSN: 2397-768X (Print) Linking ISSN: 2397768X NLM ISO Abbreviation: NPJ Precis Oncol Subsets: PubMed not MEDLINE
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  Data: Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides.
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  Data: <searchLink fieldCode="AU" term="%22Wang+CW%22">Wang CW</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. cweiwang@mail.ntust.edu.tw.<br /><searchLink fieldCode="AU" term="%22Firdi+NP%22">Firdi NP</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lee+YC%22">Lee YC</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chu+TC%22">Chu TC</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Muzakky+H%22">Muzakky H</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liu+TC%22">Liu TC</searchLink>; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 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, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chao+TK%22">Chao TK</searchLink>; Institute of Pathology and Parasitology, National Defense Medical Center, Taipei, Taiwan. chaotai.kuang@msa.hinet.net.; Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan. chaotai.kuang@msa.hinet.net.
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  Data: <searchLink fieldCode="JN" term="%22101708166%22">NPJ precision oncology</searchLink> [NPJ Precis Oncol] 2024 Dec 21; Vol. 8 (1), pp. 287. <i>Date of Electronic Publication: </i>2024 Dec 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101708166 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2397-768X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222397768X%22">2397768X </searchLink><i>NLM ISO Abbreviation: </i>NPJ Precis Oncol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1038/s41698-024-00766-9
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      – TitleFull: Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides.
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              Text: 2024 Dec 21
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