TY  - GEN
AB  - The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
AU  - Bhattacharyya, Siddhartha,
AU  - Konar, Debanjan,
AU  - Platos, Jan,
AU  - Kar, Chinmoy,
AU  - Sharma, Kalpana
CN  - Q325.5
DO  - 10.1007/978-981-13-8930-6
DO  - 10.1007/978-981-13-8
DO  - doi
ID  - 922401
KW  - Machine learning.
KW  - Computational intelligence.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8930-6
N1  - Includes author index.
N2  - The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
SN  - 9789811389306
SN  - 9811389306
T1  - Hybrid machine intelligence for medical image analysis /
TI  - Hybrid machine intelligence for medical image analysis /
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8930-6
VL  - volume 841
ER  -