Tag: image segmentation

A South Korean team has combined U-Net segmentation, hyperbolic mathematical modeling, and Fast R-CNN classification to automate suprahyoid muscle ultrasound ...

Researchers have built the first spatial atlas of dermal backflow in breast cancer-related lymphedema from 282 patients and shown that ...

A PRISMA-compliant systematic review of 48 deep learning studies finds that only 27 percent of diabetic foot ulcer AI systems ...

Researchers have developed LMANet, a lightweight multiscale attention network that achieves high-accuracy skin-lesion segmentation with only 5.6 million parameters by ...

Researchers in China have developed an exploratory AI framework that combines DWI lesion features, SWI-derived deep medullary vein markers, and ...

A new peer-reviewed study compares three deep learning approaches for detecting stroke lesions on contrast-free MRI, finding that the self-configuring ...

A cascaded deep learning system combining DeepLabv3+ segmentation with ResNet18 classification can distinguish acceleration from deceleration craniocerebral injuries on CT ...

A new vision–language framework called CLARiF combines diagnostic captioning, part-level segmentation, and retrieval-informed re-ranking to achieve state-of-the-art fine-grained pest recognition ...

Researchers in China have developed MSEA, a CLIP-based framework that combines multi-scale convolutions and efficient linear attention to achieve record ...

Researchers have developed a quantum-inspired genetic algorithm that self-regulates its search through thermodynamic-style phase transitions, achieving record image fidelity on ...