bjo.bmj

Prediction of visual impairment in retinitis pigmentosa using deep learning and multimodal fundus images

Background The efficiency of clinical trials for retinitis pigmentosa (RP) treatment is limited by the screening burden and lack of reliable surrogate markers for functional end points. Automated ...
The Lancet

Real-time artificial intelligence-assisted detection and segmentation of nasopharyngeal carcinoma using multimodal endoscopic data: a multi-center, prospective study

aDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, PR China bOtorhinolaryngology Institute, Sun Yat-sen University, Guangzhou, Guangdong, PR ...
GitHub

Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations

This is the repository for the paper Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations (2024 ...
Frontiers

CPFTransformer: transformer fusion context pyramid medical image segmentation network

The application of U-shaped convolutional neural network (CNN) methods in medical image segmentation tasks has yielded impressive results. However, this structure’s single-level context information ...
Frontiers

Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition

To propose a five-category model for the automatic detection of myopic macular lesions to help grassroots medical institutions conduct preliminary screening of myopic macular lesions from limited ...
GitHub

shenyi0220/CP-Cluster

Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection, Instance Segmentation: Confidence Propagation Cluster: Unleash Full ...