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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 351–375 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
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