BioinformaticsbioRxivPreprint
Enhancing Breast Cancer Classification with Stacked Convolutional Neural Networks for Whole-Slide Image Analysis
This paper uses stacked convolutional neural networks to classify breast cancer from whole-slide images, achieving 90% accuracy in cancer detection but lower performance in distinguishing between benign, DCIS, and IDC lesions.