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

Formative Evaluation of Digital Health Interventions (3236) Medical imaging (111) Breast Cancer (291) Innovations and Technology in Cancer Care (532) Imaging Informatics (302) Machine Learning (2077) Ontologies, Classifications, and Coding (324) Artificial Intelligence (2135) Clinical Information and Decision Making (1917) New Methods (1135)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71974, first published .
K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Study

K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Study

K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Study

Authors of this article:

Said Salloum1 Author Orcid Image
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Said Salloum   1 , PhD

1 School of Computing, Skyline University College, Sharjah, United Arab Emirates

Corresponding Author:

  • Said Salloum, PhD
  • School of Computing
  • Skyline University College
  • Al Taawun
  • Sharjah PO Box 1797
  • United Arab Emirates
  • Phone: +971 507679647
  • Email: salloum78@live.com