A fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia.

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Title: A fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia.
Authors: Shephard AJ; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK., Bashir RMS; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK., Mahmood H; School of Clinical Dentistry, University of Sheffield, Sheffield, UK., Jahanifar M; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK., Minhas F; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK., Raza SEA; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK., McCombe KD; Precision Medicine Centre, Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK., Craig SG; Precision Medicine Centre, Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK., James J; Precision Medicine Centre, Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK., Brooks J; Institute of Head and Neck Studies and Education, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK., Nankivell P; Institute of Head and Neck Studies and Education, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK., Mehanna H; Institute of Head and Neck Studies and Education, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK., Khurram SA; School of Clinical Dentistry, University of Sheffield, Sheffield, UK., Rajpoot NM; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK. n.m.rajpoot@warwick.ac.uk.
Source: NPJ precision oncology [NPJ Precis Oncol] 2024 Jun 28; Vol. 8 (1), pp. 137. Date of Electronic Publication: 2024 Jun 28.
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
Database: MEDLINE Ultimate
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