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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 241–250 of 640 papers

TitleStatusHype
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CTCode0
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing TechniquesCode0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial PerturbationsCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
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