Auto-lesion segmentation with a novel intensity dark channel prior for COVID-19 detection

• Main Authors: Saleh, Basma Jumaa, Omar, Zaid, Bhateja, Vikrant, Izhar, Lila Iznita
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/107884/1/BasmaJumaaSaleh2023_AutoLesionSegmentationwithaNovelIntensity.pdf; http://eprints.utm.my/107884/; http://dx.doi.org/10.1088/1742-6596/2622/1/012002
• Institution: Universiti Teknologi Malaysia

During the COVID-19 pandemic, medical imaging techniques like computed tomography (CT) scans have demonstrated effectiveness in combating the rapid spread of the virus. Therefore, it is crucial to conduct research on computerized models for the detection of COVID-19 using CT imaging. A novel process...