This survey paper provides an in-depth exploration of these auto-segmentation methods. First, we discuss PET, CT weaknesses, the need for PET/CT, and the ...
Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey. August 2023; Engineering ...
Dive into the research topics of 'Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey ...
Oct 22, 2024 · This study aims to automate lesion detection and segmentation using deep learning models. Methods and Materials: We evaluated several deep ...
Feb 22, 2024 · We aimed to identify and evaluate promising state-of-the-art deep learning methods for head and neck cancer (HNC) PET GTV delineation.
Missing: prospective | Show results with:prospective
This review provides a formal overview of current automatic segmentation studies that use deep learning in radiotherapy. It covers 807 published papers and ...
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Sep 17, 2024 · In this paper, we propose a fusion solution which complements PET and CT images using a convolutional neural network (CNN), called MSD-HAM-Net.
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In this review, we discuss the application of image processing and machine/deep learning techniques to PET/CT imaging with special focus on the oncological ...
Missing: prospective survey.
This study aims to develop a deep learning-based segmentation approach to accurately and efficiently delineate NSCLC targets using diagnostic PET-CT and SBRT ...
Missing: prognostic | Show results with:prognostic
Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey · Medicine, Computer Science. Eng.