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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 341–350 of 640 papers

TitleStatusHype
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners—0
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation—0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation—0
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation—0
Ultrasound Domain Adaptation Using Frequency Domain Analysis—0
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond—0
Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation—0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
Unified Medical Lesion Segmentation via Self-referring Indicator—0
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