Tech Xplore

Reliably detecting and clearly explaining deepfake images

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
IEEE

Classification of IHC Images of NATs With ResNet-FRP-LSTM for Predicting Survival Rates of Rectal Cancer Patients

Abstract: Background: Over a decade, tissues dissected adjacent to primary tumors have been considered “normal” or healthy samples (NATs). However, NATs have recently been discovered to be distinct ...
GitHub

ResNet-50 Image Classification

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
IEEE

Hyperspectral Image Classification Based on 3-D Separable ResNet and Transfer Learning

Abstract: Deep learning (DL) has proven to be a promising technique for hyperspectral image (HSI) classification. However, due to complex network structure and massive parameters, it is challenging to ...
ITWeb on MSN

Test report: Strong performance for AI image classification workloads on Stratus ztC Endurance 7100 compute platforms

AI can be used for image recognition and classification. Artificial intelligence (AI) for image recognition and classification is growing fast, with one study estimating a 2024 market share of USD ...
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...