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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 411–420 of 640 papers

TitleStatusHype
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias—0
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT—0
Automated external cervical resorption segmentation in cone-beam CT using local texture features—0
Automated ischemic stroke lesion segmentation from 3D MRI—0
Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks—0
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis—0
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