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Lesion Segmentation

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

( Image credit: D-UNet )

Papers

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Showing 231–240 of 640 papers

TitleStatusHype
Generative Adversarial Networks based Skin Lesion SegmentationCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III ChallengeCode0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss functionCode0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT ImagesCode0
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT ScansCode0
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge GuidanceCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
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