SOTAVerified

Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 181–190 of 640 papers

TitleStatusHype
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
How We Won the ISLES'24 Challenge by PreprocessingCode0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Show:102550
← PrevPage 19 of 64Next →

No leaderboard results yet.