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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 551–600 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
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networksCode0
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation—0
Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation—0
Segmentation of Multiple Sclerosis lesion in brain MR images using Fuzzy C-Means—0
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection—0
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks—0
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network—0
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation—0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network—0
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST—0
Dense Pooling layers in Fully Convolutional Network for Skin Lesion SegmentationCode0
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation—0
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review—0
Detection-aided liver lesion segmentation using deep learningCode0
Road Extraction by Deep Residual U-NetCode1
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)Code1
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsCode1
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Skin Lesion Segmentation: U-Nets versus Clustering—0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation—0
Liver lesion segmentation informed by joint liver segmentation—0
Tversky loss function for image segmentation using 3D fully convolutional deep networksCode0
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