LiverScan V
LiverScan V is a computer vision model that automatically detects and segments focal liver lesions including tumor, cyst, and abscess. It is developed to streamline multi-class segmentation of FLLs for faster diagnosis.
6
patient diagnosed
99%
detection accuracy
20
diagnosis time in seconds
Meet the team behind
LiverScan V
LiverScan V
Dr. Justin Ryan Tan, MD
Dr. Justin Tan, or Dr. TJ, is a board-certified gastroenterologist specializing in Endoscopic Ultrasound and ERCP. His medical interests include pancreaticobiliary diseases as well as palliative interventional endoscopic procedures. During his international training, he focused on treating a range of pancreatic and biliary conditions, including chronic pancreatitis, pancreatic cystic neoplasms, tumors, stones, strictures, and tumors of the bile ducts.
Dr. Melvin K. Cabatuan
Dr. Melvin K. Cabatuan is an Associate Professor in De La Salle University, Manila at the Gokongwei College of Engineering, Electronics Engineering Department. He graduated his PhD in Electronics and Communications Engineering in De La Salle University, Manila. He graduated his Master's in Engineering in Nara Institute of Science and Technology in Nara, Japan.' He graduated his Bachelors degree in ECE in Cebu Institute of Technology in Cebu City. His research interest are: machine learning, deep learning, computer vision, health informatics and breast cancer.
Engr. Jessica S. Velasco
Engr. Velasco is an Associate Professor in the Department of Electronics Engineering and serves as the College Secretary of the College of Engineering at Technological University of the Philippines, Manila. She earned her master’s degree in Electronics Engineering from De La Salle University (DLSU) and is currently pursuing a PhD in the same field at DLSU. Her research focuses on artificial intelligence and machine learning.
