000			03091cam a2200301zu 4500
001			88955463
003			FRCYB88955463
005			20250108004113.0
006			m o d
007			cr un
008			250108s2020 fr | o|||||0|0|||eng d
020			_a9780128192955
035			_aFRCYB88955463
040			_aFR-PaCSA _ben _c _erda
100	1		_aGandhi, Tapan K.
245	0	1	_aAdvanced Machine Vision Paradigms for Medical Image Analysis _c['Gandhi, Tapan K.', 'Bhattacharyya, Siddhartha', 'De, Sourav']
264		1	_bElsevier Science _c2020
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aGandhi, Tapan K.
700	0		_aBhattacharyya, Siddhartha
700	0		_aDe, Sourav
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88955463 _qtext/html _a
520			_aComputer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis
999			_c79224 _d79224