Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
Year: 2024
Type: article
Source: Medical Image Analysis
Authors: Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Institutions: Arizona State University, Mayo Clinic, Mayo Clinic in Arizona
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Awards: G1453181110, Track 4: Advanced CI Coordination Ecosystem: Monitoring and Measurement Services, G2299875479, G2888034965, G3185749182, G34258105, G3562386289, Track 1: ACCESS Resource Allocations Marketplace and Platform Services (RAMPS), G4010157413, G4275568664, ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI), Track 3: COre National Ecosystem for CyberinfrasTructure (CONECT), G5156331529, Computer-Aided Diagnosis of Pulmonary Embolism, G5367127336, G5464919783, G731264315, G7526614437, Track 2: Customized Multi-tier Assistance, Training, and Computational Help (MATCH) for End User ACCESS to CI, G8499740153, G878072758
OpenAlex ID: W4391292937