000			01381 a2200397 4500
005			20250518091914.0
264		0	_c20201215
008			202012s 0 0 eng d
022			_a1873-5894
024	7		_a10.1016/j.mri.2020.03.001 _2doi
040			_aNLM _beng _cNLM
100	1		_aFeng, Hongwei
245	0	0	_aA knowledge-driven feature learning and integration method for breast cancer diagnosis on multi-sequence MRI. _h[electronic resource]
260			_bMagnetic resonance imaging _c06 2020
300			_a40-48 p. _bdigital
500			_aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650	0	4	_aAlgorithms
650	0	4	_aBreast Neoplasms _xdiagnostic imaging
650	0	4	_aDeep Learning
650	0	4	_aDiagnosis, Computer-Assisted _xmethods
650	0	4	_aFemale
650	0	4	_aHumans
650	0	4	_aImage Interpretation, Computer-Assisted _xmethods
650	0	4	_aImage Processing, Computer-Assisted _xmethods
650	0	4	_aMagnetic Resonance Imaging
650	0	4	_aModels, Statistical
650	0	4	_aROC Curve
700	1		_aCao, Jiaqi
700	1		_aWang, Hongyu
700	1		_aXie, Yilin
700	1		_aYang, Di
700	1		_aFeng, Jun
700	1		_aChen, Baoying
773	0		_tMagnetic resonance imaging _gvol. 69 _gp. 40-48
856	4	0	_uhttps://doi.org/10.1016/j.mri.2020.03.001 _zAvailable from publisher's website
999			_c30743736 _d30743736