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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
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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