Tag: image segmentation

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

A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental ...

Researchers have unveiled a matrix-blinding framework that lets resource-constrained clients outsource heavy hyper-spectral image analysis to untrusted cloud servers while ...

A new benchmark dataset of nearly 9,000 drone-image patches shows deep learning models dramatically outperform classical image filters in automatically ...

Brazilian researchers used a YOLO-based deep learning model to quantify internal insect injury in sugarcane stalks, showing that continuous injury ...

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 ...