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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

Showing 501525 of 640 papers

TitleStatusHype
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network0
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning0
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
Cut-Paste Consistency Learning for Semi-Supervised Lesion SegmentationCode0
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical ImagesCode0
Skin Lesion Segmentation using SegNet with Binary Cross-EntropyCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI imagesCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic StrokeCode0
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative LearningCode0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
Whole-Body Lesion Segmentation in 18F-FDG PET/CTCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
Universal Lesion Segmentation Challenge 2023: A Comparative Research of Different AlgorithmsCode0
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