Tag: Grad-CAM

A new study shows that an interpretable AI model fusing 18F-PSMA-1007 PET/CT and multiparametric MRI can predict prostate cancer aggressiveness ...

A new cross-modality knowledge distillation framework uses CT-derived feature supervision to boost chest X-ray classification of lung diseases by up ...

Researchers have built an explainable ensemble deep learning framework that fuses four transfer learning models using CMAES optimization to classify ...

A fully automated deep learning system called CFAPS segments carotid plaques on multi-contrast MRI and classifies their vulnerability in under ...

Researchers at Saudi Electronic University have developed XCardioPulmoNet, an explainable deep learning framework that classifies heart and lung sounds with ...

Researchers in Algeria built a soft-voting ensemble of three convolutional neural networks that classifies breast cancer histopathology images with 97.12 ...

A controlled benchmark from El Salvador found that the lightweight hybrid MobileViT-v2-100 model reached 96.45 percent accuracy in classifying sugarcane ...

Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...

Researchers harnessed a pathology foundation model to read endometrial biopsy slides, predicting IVF live birth outcomes and identifying the receptive ...

A deep learning model trained on thousands of abdominal CT scans can automatically detect mistimed contrast phases and shows that ...