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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 551–575 of 640 papers

TitleStatusHype
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation—0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities—0
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation—0
Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour SpaceCode0
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images—0
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis—0
Generating Highly Realistic Images of Skin Lesions with GANs—0
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018—0
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model—0
A Multi-task Framework for Skin Lesion Detection and Segmentation—0
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and SegmentationCode0
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation—0
TBI Contusion Segmentation from MRI using Convolutional Neural Networks—0
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images—0
Dermoscopic Image Analysis for ISIC Challenge 2018—0
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3—0
ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network—0
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—0
Deep attention-guided fusion network for lesion segmentation—0
Lesion segmentation using U-Net network—0
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
ISIC 2018-A Method for Lesion Segmentation—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features—0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
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