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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 331–340 of 640 papers

TitleStatusHype
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods—0
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks—0
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation—0
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity—0
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Mutual gain adaptive network for segmenting brain stroke lesions—0
Navigating Uncertainty in Medical Image Segmentation—0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers—0
Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation—0
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