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Lesion Segmentation

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

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Papers

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Showing 211–220 of 640 papers

TitleStatusHype
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge GuidanceCode0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic StrokeCode0
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesCode0
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