PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING

Bibliographic Details
Main Authors: Richard J. Chen, Ming Y. Lu, Drew F.K. Williamson, Tiffany Y. Chen, Jana Lipkova, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, Faisal Mahmood
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922000578
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author Richard J. Chen
Ming Y. Lu
Drew F.K. Williamson
Tiffany Y. Chen
Jana Lipkova
Muhammad Shaban
Maha Shady
Mane Williams
Bumjin Joo
Zahra Noor
Faisal Mahmood
author_facet Richard J. Chen
Ming Y. Lu
Drew F.K. Williamson
Tiffany Y. Chen
Jana Lipkova
Muhammad Shaban
Maha Shady
Mane Williams
Bumjin Joo
Zahra Noor
Faisal Mahmood
author_sort Richard J. Chen
collection DOAJ
first_indexed 2024-04-11T05:00:11Z
format Article
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institution Directory Open Access Journal
issn 2153-3539
language English
last_indexed 2024-04-11T05:00:11Z
publishDate 2022-01-01
publisher Elsevier
record_format Article
series Journal of Pathology Informatics
spelling doaj.art-be4e36f53bc94e64bbeb725b57cf49f12022-12-26T04:08:17ZengElsevierJournal of Pathology Informatics2153-35392022-01-0113100057PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNINGRichard J. Chen0Ming Y. Lu1Drew F.K. Williamson2Tiffany Y. Chen3Jana Lipkova4Muhammad Shaban5Maha Shady6Mane Williams7Bumjin Joo8Zahra Noor9Faisal Mahmood10Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USADepartment of Computer Science, Harvard University, Cambridge, MA, USADepartment of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA; Corresponding author.http://www.sciencedirect.com/science/article/pii/S2153353922000578
spellingShingle Richard J. Chen
Ming Y. Lu
Drew F.K. Williamson
Tiffany Y. Chen
Jana Lipkova
Muhammad Shaban
Maha Shady
Mane Williams
Bumjin Joo
Zahra Noor
Faisal Mahmood
PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING
Journal of Pathology Informatics
title PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING
title_full PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING
title_fullStr PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING
title_full_unstemmed PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING
title_short PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING
title_sort pan cancer integrative histology genomic analysis via interpretable multimodal deep learning
url http://www.sciencedirect.com/science/article/pii/S2153353922000578
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