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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 501–550 of 640 papers

TitleStatusHype
Deep Active Lesion SegmentationCode0
Mask Mining for Improved Liver Lesion Segmentation—0
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features—0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning—0
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT—0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Predicting Clinical Outcome of Stroke Patients with Tractographic FeatureCode0
Exploiting bilateral symmetry in brain lesion segmentation—0
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range DependenciesCode0
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic StrokeCode0
DSNet: Automatic Dermoscopic Skin Lesion SegmentationCode0
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets—0
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images—0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network—0
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm InfantsCode0
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis—0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
Generative Model-Based Ischemic Stroke Lesion Segmentation—0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI imagesCode0
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss functionCode0
Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation—0
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets—0
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation—0
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks—0
GradMask: Reduce Overfitting by Regularizing Saliency—0
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence—0
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Improved Inference via Deep Input Transfer—0
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation—0
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and ClassificationCode0
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher ModelCode0
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial PerturbationsCode0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation—0
SHEAR-net: An End-to-End Deep Learning Approach for Single Push Ultrasound Shear Wave Elasticity Imaging—0
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
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
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