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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 401–450 of 640 papers

TitleStatusHype
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT—0
Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units—0
White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative—0
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets—0
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods—0
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models—0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT ScansCode0
Saliency-based segmentation of dermoscopic images using color information—0
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data SegmentationCode0
DR-Unet104 for Multimodal MRI brain tumor segmentationCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation—0
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion SegmentationCode1
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation—0
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasetsCode1
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network—0
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
DONet: Dual Objective Networks for Skin Lesion Segmentation—0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial LearningCode1
One Click Lesion RECIST Measurement and Segmentation on CT Scans—0
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI—0
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks—0
A Characteristic Function-based Algorithm for Geodesic Active Contours—0
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Pathological myopia classification with simultaneous lesion segmentation using deep learning—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Progressive Adversarial Semantic Segmentation—0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Joint Liver Lesion Segmentation and Classification via Transfer Learning—0
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