000			02013cam a2200301zu 4500
001			88864146
003			FRCYB88864146
005			20250107104858.0
006			m o d
007			cr un
008			250107s2018 fr | o|||||0|0|||eng d
020			_a9780128130872
035			_aFRCYB88864146
040			_aFR-PaCSA _ben _c _erda
100	1		_aDey, Nilanjan
245	0	1	_aSoft Computing Based Medical Image Analysis _c['Dey, Nilanjan', 'Ashour, Amira S.', 'Shi, Fuquian']
264		1	_bElsevier Science _c2018
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aDey, Nilanjan
700	0		_aAshour, Amira S.
700	0		_aShi, Fuquian
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88864146 _qtext/html _a
520			_aSoft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques
999			_c15463 _d15463