A hierarchical classifier for multiclass prostate histopathology image gleason grading

• Main Authors: Albashish, Dheeb, Sahran, Shahnorbanun, Abdullah, Azizi, Alweshah, Mohammed, Adam, Afzan
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/24029/1/JICT%2018%20%202%202018%20%20323%E2%80%93346.pdf; http://repo.uum.edu.my/24029/; http://jict.uum.edu.my/index.php/current-issues#A6

Automated classification of prostate histopathology images includes the identification of multiple classes, such as benign and cancerous (grades 3 & 4).To address the multiclass classification problem in prostate histopathology images, breakdown approaches are utilized, such as one-versus-one (O...