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Role of AI and digital pathology for colorectal immuno-oncology
Mohsin Bilal
, Mohammed Nimir
, David Snead
, Graham S. Taylor
, Nasir Rajpoot
University of Warwick
University Hospitals Coventry and Warwickshire NHS Trust
University of Birmingham
Alan Turing Institute
Research output
:
Contribution to journal
›
Review article
›
peer-review
26
Scopus citations
Overview
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Medicine and Dentistry
Oncology
100%
Immunoglobulin
100%
Microsatellite Instability
100%
Immunotherapy
75%
Neoplasm
50%
Biological Marker
50%
Colorectal Carcinoma
50%
Cytokine
25%
Gene Expression
25%
Immune Response
25%
Patient Care
25%
Cellular Infiltration
25%
Immunohistochemistry
25%
Immune System
25%
Immunocompetent Cell
25%
Tumor Vaccine
25%
Oncolytic Virus
25%
T Cell
25%
Haematoxylin
25%
Eosin
25%
Pharmacology, Toxicology and Pharmaceutical Science
Neoplasm
100%
Immunoglobulin
100%
Immunotherapy
100%
Digital Pathology
100%
Biological Marker
66%
Colorectal Carcinoma
66%
Virus Vaccine
33%
Cytokine
33%
Oncolytic Virus
33%
Haematoxylin
33%
Eosin
33%
Tumor Vaccine
33%
Biochemistry, Genetics and Molecular Biology
Artificial Intelligence
100%
Digital Pathology
100%
Microsatellite Instability
66%
Gene Expression
16%
Cytokine
16%
Immune Response
16%
Eosin
16%
T Cell
16%
Immunocompetent Cell
16%
Neuroscience
Intravenous Immunoglobulin
100%
Immunotherapy
75%
Immunohistochemistry
25%
Gene Expression
25%
Haematoxylin
25%
T Cell
25%