About this document
Basal-Cell Carcinoma Detection Classifier by Antonio Luis Sánchez Torres is a document available to read on EtoBox.
This document discusses the development of a cell-level classifier for detecting basal-cell carcinoma by integrating human visual attention maps with low-level handcrafted features. The proposed model, which combines various levels of image information, was validated using a dataset of 24 cases, achieving an accuracy of 74.49% in predicting cancer presence. The approach aims to enhance diagnostic accuracy in digital pathology by leveraging expert knowledge from pathologists
- Author
- Antonio Luis Sánchez Torres
- Language
- EN