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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 626–640 of 640 papers

TitleStatusHype
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation with Zero-Shot MethodCode0
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesCode0
Orthogonal Ensemble Networks for Biomedical Image SegmentationCode0
Deep Active Lesion SegmentationCode0
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial PerturbationsCode0
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?Code0
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesionsCode0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation ChallengeCode0
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data SegmentationCode0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency ModelingCode0
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
Predicting Clinical Outcome of Stroke Patients with Tractographic FeatureCode0
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