Tag: computer-aided diagnosis

A two-stage deep learning framework can automatically segment subpleural lung lesions on grayscale ultrasound and distinguish benign from malignant cases, ...

A new AI framework called RCTE improves the detection of small lesions and complex dental structures in panoramic radiographs while ...

A new Matters Arising exchange in Pediatric Radiology argues that overall accuracy is the wrong benchmark for AI systems detecting ...

Researchers in China have developed WEM-Mamba, a wavelet-enhanced state space model that classifies rotator cuff tears from plain shoulder X-rays ...

A 2024 study claiming high-accuracy deep learning detection of ovarian cancer was retracted after its ultrasound dataset was found to ...

A new multi-task AI framework called TAZD-Net segments thyroid nodules and predicts malignancy by explicitly reasoning over the lesion, its ...

Researchers in South Korea have developed a fully automated deep-learning system that uses supervised contrastive learning across multiphase CT scans ...

A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images ...

A comprehensive new review in Neural Computing and Applications charts how machine learning and deep learning are transforming lymphoma diagnosis ...

Researchers in China have developed MAF-Net, a multi-scale attention fusion network that achieves a record Dice score of 85.47 percent ...