Journal of Cancer
EfficientNetB5-Based Deep Learning for Automated Cancer Detection in Tissue Microarray Images
By Tsai KW, Pham BT, Cheng CF and 5 others.
Abstract
Background
Tissue microarray (TMA) technology is pivotal in cancer research, enabling simultaneous analysis of multiple samples on a single slide. Manual analysis of TMA images remains time-consuming and subjective. This study aimed to develop a robust deep learning model to automate TMA image analysis, enhance accuracy, and support cancer diagnosis.