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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 281–290 of 640 papers

TitleStatusHype
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation—0
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning—0
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results—0
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