Optic Cup Segmentation
3 papers with code • 1 benchmarks • 2 datasets
Optic cup segmentation, concentric with optic disc, useful for glaucoma management (ophthalmology)
Most implemented papers
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection
Scarcity of large publicly available retinal fundus image datasets for automated glaucoma detection has been the bottleneck for successful application of artificial intelligence towards practical Computer-Aided Diagnosis (CAD).
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Inspired by the success of DPM, we propose the first DPM based model toward general medical image segmentation tasks, which we named MedSegDiff.
Medical Image Segmentation Using Squeeze-and-Expansion Transformers
Medical image segmentation is important for computer-aided diagnosis.