DP-GAN+B: A lightweight generative adversarial network based on depthwise separable convolutions for generating CT volumes
- 2 April 2024
- journal article
- research article
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 174, 108393
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
- Wenzhou Institute of Biomaterials and Engineering
- Ministry of Science and Technology of the People's Republic of China
This publication has 31 references indexed in Scilit:
- MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosisHealth Information Science and Systems, 2024
- Revolutionizing Infection Risk Scoring: An Ensemble “From Weak to Strong” Deduction Strategy and Enhanced Point‐of‐Care Testing ToolsAdvanced Intelligent Systems, 2023
- Gene function and cell surface protein association analysis based on single-cell multiomics dataComputers in Biology and Medicine, 2023
- Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signalsComputers in Biology and Medicine, 2023
- Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentationComputers in Biology and Medicine, 2022
- Colorectal polyp region extraction using saliency detection network with neutrosophic enhancementComputers in Biology and Medicine, 2022
- Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimizationComputers in Biology and Medicine, 2022
- High‐quality retinal vessel segmentation using generative adversarial network with a large receptive fieldInternational Journal of Imaging Systems and Technology, 2020
- Efficient Gaussian sample specific network marker discovery and drug enrichment analysis validationComputational Biology and Chemistry, 2019
- 3D reconstruction of the human rib cage from 2D projection images using a statistical shape modelInternational Journal of Computer Assisted Radiology and Surgery, 2009