Browsing College of Medicine by Author "Dakua, Sarada Prasad"
Now showing items 1-3 of 3
-
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review
Ansari, Mohammed Yusuf; Mangalote, Iffa Afsa Changaai; Meher, Pramod Kumar; Aboumarzouk, Omar; Al-Ansari, Abdulla; Halabi, Osama; Dakua, Sarada Prasad... more authors ... less authors ( IEEE Xplore , 2024 , Article)Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US image segmentation is crucial in image analysis. Recently, deep learning-based methods are increasingly being used to segment US ... -
Development of a flexible liver phantom for hepatocellular carcinoma treatment planning: a useful tool for training & education
Al-Thani, Abdulla; Sharif, Abdulrahman; El Borgi, Sami; Abdulla, Shameel; Ahmed Saleh, Mahmoud Raja; Al-Khal, Reem; Velasquez, Carlos; Aboumarzouk, Omar; Dakua, Sarada Prasad... more authors ... less authors ( BioMed Central Ltd , 2024 , Article)Purpose: Hepatocellular carcinoma (HCC) is one of the most common types of liver cancer that could potentially be surrounded by healthy arteries or veins that a surgeon would have to avoid during treatment. A realistic 3D ... -
Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
Vaisali, Chandrasekar; Mohammad, Syed; Aboumarzouk, Omar; Singh, Ajay Vikram; Dakua, Sarada Prasad ( Elsevier , 2025 , Article)Point of departure (POD) is a concept used in risk assessment to calculate the reference dose of exposure that is likely to have no appreciable risk on health. POD can be directly utilized from no observed adverse effect ...