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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
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
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
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
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
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications—0
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond—0
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
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
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
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets—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
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
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT ScansCode0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
Saliency-based segmentation of dermoscopic images using color information—0
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data SegmentationCode0
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation—0
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
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
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