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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 511–520 of 640 papers

TitleStatusHype
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Exploiting bilateral symmetry in brain lesion segmentation—0
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation—0
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation—0
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation—0
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images—0
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
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