Cancer is a life-threatening ailment characterized by the uncontrolled proliferation of cells.
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …

Explainability is essential for users to effectively understand, trust, and manage powerful
artificial intelligence solutions. Decision trees are one of the pioneer explanaible artificial …

This paper proposes the use of transfer learning and ensemble learning for binary
classification of breast cancer histological images over the four magnification factors of the …

Purpose Histopathology biopsy imaging is currently the gold standard for the diagnosis of
breast cancer in clinical practice. Pathologists examine the images at various magnifications …

The progress of deep learning architectures, machine learning models and pathology slide
digitization is an encouraging step toward meeting the growing demand for more precise …

In this research paper, we aimed to compare different machine learning algorithms such as
Support Vector Machine (SVM), Random Forest (RF), and Maximum Likelihood for pixel …