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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 526–550 of 640 papers

TitleStatusHype
SHEAR-net: An End-to-End Deep Learning Approach for Single Push Ultrasound Shear Wave Elasticity Imaging—0
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)Code1
FocusNet: An attention-based Fully Convolutional Network for Medical Image SegmentationCode0
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images—0
Boundary loss for highly unbalanced segmentationCode1
Skin lesion segmentation using U-Net and good training strategies—0
Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder—0
A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols—0
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions—0
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation—0
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss—0
Acute and sub-acute stroke lesion segmentation from multimodal MRICode0
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection—0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities—0
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation—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
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
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