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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 551–575 of 640 papers

TitleStatusHype
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model—0
A Multi-task Framework for Skin Lesion Detection and Segmentation—0
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and SegmentationCode0
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation—0
TBI Contusion Segmentation from MRI using Convolutional Neural Networks—0
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images—0
Dermoscopic Image Analysis for ISIC Challenge 2018—0
ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network—0
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—0
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3—0
Lesion segmentation using U-Net network—0
Deep attention-guided fusion network for lesion segmentation—0
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
ISIC 2018-A Method for Lesion Segmentation—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features—0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation—0
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy ImagesCode0
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST—0
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox DetectorCode1
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation—0
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networksCode0
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks—0
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