Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework

• Main Authors: Acharya, U. Rajendra, Akter, Ayesha, Chowriappa, Pradeep, Dua, Sumeet, Raghavendra, U., Koh, Joel E. W., Tan, Jen Hong, Leong, Sook Sam, Vijayananthan, Anushya, Hagiwara, Yuki, Ramli, Marlina Tanty, Ng, Kwan Hoong
• Format: Article
• Published: Springer Berlin Heidelberg 2018
• Subjects: R Medicine
• Online Access: http://eprints.um.edu.my/22709/; https://doi.org/10.1007/s40815-018-0456-9
• Institution: Universiti Malaya

Ovarian cancer is one of the prime causes of mortality in women. Diagnosis of ovarian cancer using ultrasonography is tedious as ovarian tumors exhibit minute clinical and structural differences between the suspicious and non-suspicious classes. Early prediction of ovarian cancer will reduce its gro...