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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 451–500 of 640 papers

TitleStatusHype
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation—0
Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images—0
Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation—0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion SegmentationCode1
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images—0
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Semi-supervised few-shot learning for medical image segmentation—0
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion SegmentationCode1
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation—0
Automatic lesion segmentation and Pathological Myopia classification in fundus images—0
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
Automatic segmentation of stroke lesions in non-contrast computed tomography with convolutional neural networks—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
Weakly Supervised Lesion Co-segmentation on CT Scans—0
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion SegmentationCode1
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation—0
Breast lesion segmentation in ultrasound images with limited annotated data—0
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Learn to Segment Retinal Lesions and BeyondCode0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images—0
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network—0
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural NetworksCode0
Skin Lesion Segmentation using SegNet with Binary Cross-EntropyCode0
Semantic Segmentation of Skin Lesions using a Small Data Set—0
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI—0
SANet:Superpixel Attention Network for Skin Lesion Attributes Detection—0
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesCode0
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks—0
Deep Active Lesion SegmentationCode0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
Mask Mining for Improved Liver Lesion Segmentation—0
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features—0
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning—0
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT—0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Predicting Clinical Outcome of Stroke Patients with Tractographic FeatureCode0
Exploiting bilateral symmetry in brain lesion segmentation—0
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range DependenciesCode0
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic StrokeCode0
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