VEntNet: hybrid deep convolutional neural network model for automated multi-class categorization of chest X-rays

• Main Authors: Sudarshan, Vidya K., Ramachandra, Reshma A., Tan, Nicole Si Min, Ojha, Smit, Tan, Ru San
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Chest X-Rays; Deep Neural Network
• Online Access: https://hdl.handle.net/10356/161997
• Institution: Nanyang Technological University

Visual interpretation of chest X-rays (CXRs) is tedious and prone to error. Significant amount of time is spent by the radiologist in differentiating normal from abnormal CXRs and in identifying the location and type of abnormalities. An assistance tool for automatically classifying normal and diffe...