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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 531–540 of 640 papers

TitleStatusHype
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
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