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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 351–400 of 640 papers

TitleStatusHype
Training on Polar Image Transformations Improves Biomedical Image SegmentationCode1
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense AttentionCode1
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images—0
Ultrasound Domain Adaptation Using Frequency Domain Analysis—0
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion DetectionCode0
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation—0
Small Lesion Segmentation in Brain MRIs with Subpixel EmbeddingCode1
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation ChallengeCode1
Looking at the whole picture: constrained unsupervised anomaly segmentationCode1
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
Unsupervised Local Discrimination for Medical ImagesCode1
CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationCode1
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation—0
COVID-view: Diagnosis of COVID-19 using Chest CT—0
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina—0
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation—0
Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image—0
Volume of hyperintense inflammation (VHI): a deep learning-enabled quantitative imaging biomarker of inflammation load in spondyloarthritisCode0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Segmentation and ABCD rule extraction for skin tumors classification—0
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition—0
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Orthogonal Ensemble Networks for Biomedical Image SegmentationCode0
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural NetsCode0
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection—0
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss—0
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR ImagesCode1
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications—0
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond—0
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images—0
Differentiable Deconvolution for Improved Stroke Perfusion Analysis—0
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer—0
NeRD: Neural Representation of Distribution for Medical Image SegmentationCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
Rotation-Equivariant Deep Learning for Diffusion MRICode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features—0
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans—0
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation—0
SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability—0
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