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This paper is in the following e-collection/theme issue:

Cancer genomic data analysis (12) Machine Learning (2229) Imaging Informatics (331)

Published on in Vol 3, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27394, first published .
Convolutional Neural Network–Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study

Convolutional Neural Network–Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study

Convolutional Neural Network–Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study

Authors of this article:

Remy Peyret1 Author Orcid Image ;   Duaa alSaeed2 Author Orcid Image ;   Fouad Khelifi1 Author Orcid Image ;   Nadia Al-Ghreimil2 Author Orcid Image ;   Heyam Al-Baity2 Author Orcid Image ;   Ahmed Bouridane1 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. Frewing A, Gibson A, Robertson R, Urie P, Corte D. Don't Fear the Artificial Intelligence: A Systematic Review of Machine Learning for Prostate Cancer Detection in Pathology. Archives of Pathology & Laboratory Medicine 2024;148(5):603 View
  2. Lakshminarayana M, Hiremath B, Hiremath M, Sridhar N. Virtual Path-Net: A Graph-Based Deep Learning Model for Multi-Organ Cancer Classification in Pathology Images. SN Computer Science 2026;7(4) View

Conference Proceedings

  1. Merabet A, Saighi A, Ferradji M, Laboudi Z. 2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS). Enhancing Colon Cancer Prediction in Histopathology with Integrated Deep Learning Models: A Comparative Study on the LC25000 Dataset View