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008			200515s2020 gw a o |||| 0|eng d
020			_a9783030427504
024	7		_a10.1007/978-3-030-42750-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR855 _b2020 EB
245	0	0	_aDeep Learners and Deep Learner Descriptors for Medical Applications _cedited by Loris Nanni, Sheryl Brahnam, Rick Brattin, Stefano Ghidoni, Lakhmi C. Jain.
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020
300			_a1 recurso en línea (XI, 284 páginas) _b110 ilustraciones, 51 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4394 _v186
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
520	3		_aThis book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major ways deep learners can be utilized: 1) by training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) by implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) by fine-tuning one or more pre-trained deep learners on an unrelated dataset so that they are able to identify novel medical datasets; 4) by fusing different deep learner architectures; and 5) by combining the above methods to generate a variety of more elaborate ensembles. This book is a value resource for anyone involved in engineering deep learners for medical applications as well as to those interested in learning more about the current techniques in this exciting field. A number of chapters provide source code that can be used to investigate topics further or to kick-start new projects. .
988			_aSpringer_Robotics_23062020
650		7	_2embne _aTecnología médica _9150466
700	1		_aNanni, Loris _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2013021919 _1http://viaf.org/viaf/305365727
700	1		_aBrahnam, Sheryl _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/no2011010869 _1http://viaf.org/viaf/263547496
700	1		_aBrattin, Rick _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGhidoni, Stefano _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aJain, Lakhmi C _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n95096324 _1http://viaf.org/viaf/307207767
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9783030427481
776	0	8	_iPrinted edition: _z9783030427498
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-42750-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2020 _dz _eIG _zSI