Medical Image Classification with Hand-Designed or Machine-Designed Texture Descriptors: A Performance Evaluation,
Accurate diagnosis and early detection of various disease conditions are key to improving living conditions in any community. The existing framework for medical image classification depends largely on advanced digital image processing and machine (deep) learning techniques for significant improvement. In this paper, the performance of traditional hand-designed texture descriptors within the...
Published at In: Rojas I., Ortuño F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science, vol 10813, pp. 266-275. Springer, Cham. Print ISBN 978-3-319-78758-9
Published in 2018
J. A. Badejo, E. Adetiba, A. Akinrinmade, and M. B. Akanle
Badejo Joke » Joke Badejo received the B.Tech. degree from Ladoke Akintola University of Technology, Nigeria, in 2003, the M.Eng. and Ph.D. degree from Covenant University, Nigeria in 2007 and 2015 respectively; all in Computer Engineering. She is currently an Assistant Professor in the Department of Electrical and Information Engineering at Covenant University, Nigeria. During her Ph.D., she received the... view full profile
Automatic Electrical Appliances Control Panel Based on Infrared and Wi-Fi: A Framework for Electrical Energy Conservation.
Development of CUiris: A Dark-Skinned African Iris Dataset for Enhancement of Image Analysis and Robust Personal Recognition