TY  - GEN
N2  - This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging. .
DO  - 10.1007/978-3-319-24888-2
DO  - doi
AB  - This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging. .
T1  - Machine learning in medical imaging6th International Workshop, MLMI 2015, held in conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings /
AU  - Zhou, Luping.
AU  - Wang, Li.
AU  - Wang, Qian.
AU  - Shi, Yinghuan.
VL  - 9352
CN  - SpringerLink
CN  - RC78.7.D53
CN  - TA1637-1638
CN  - TA1634
ID  - 745362
KW  - Machine learning
KW  - Diagnostic imaging
KW  - Artificial intelligence
KW  - Computer science.
KW  - Medical informatics.
KW  - Data mining.
KW  - Artificial intelligence.
KW  - Image processing.
KW  - Pattern perception.
SN  - 9783319248882
SN  - 331924888X
TI  - Machine learning in medical imaging6th International Workshop, MLMI 2015, held in conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-24888-2
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-24888-2
ER  -