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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 561–570 of 640 papers

TitleStatusHype
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin ImagesCode0
GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion AnalysisCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?Code0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion SegmentationCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge GuidanceCode0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
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