IEEE

Class Fusion of Support Vector Machines with Deep Learning Features for Oral Cancer Histopathology Classification

Abstract: This study explores the fusion of support vector machine (SVM) classifiers trained on features extracted from InceptionResNet-v2 and vision transformer (ViT) models to classify ...
IEEE

DeepCRC-Net: An Attention-Driven Deep Learning Network for Colorectal Cancer Classification Using Xception and Efficient Lightweight Local Feature Fusion Networks

Abstract: Colorectal cancer (CRC) is one of the primary causes of cancer-related deaths globally, and early detection is critical for improving patient outcomes. Histopathological analysis of ...