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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 501–525 of 640 papers

TitleStatusHype
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
Generative Model-Based Ischemic Stroke Lesion Segmentation—0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
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
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence—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
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