Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images

• Main Authors: U. Raghavendra, Anjan Gudigar, M. Maithri, Arkadiusz Gertych, Kristen M. Meiburger, Chai Hong Yeong, Chakri Madla, Pailin Kongmebhol, Filippo Molinari, Kwan Hoong Ng, U. Rajendra Acharya
• Format: Journal
• Published: 2018
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042178227&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/48448
• Institution: Chiang Mai University

© 2018 Elsevier Ltd Ultrasound imaging is one of the most common visualizing tools used by radiologists to identify the location of thyroid nodules. However, visual assessment of nodules is difficult and often affected by inter- and intra-observer variabilities. Thus, a computer-aided diagnosis (CAD...