TY  - GEN
N2  - This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26-27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.
DO  - 10.1007/978-981-13-8798-2
DO  - doi
AB  - This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26-27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.
T1  - Computer vision and machine intelligence in medical image analysis :international symposium, ISCMM 2019 /
AU  - Gupta, Mousumi,
AU  - Konar, Debanjan,
AU  - Bhattacharyya, Siddhartha,
AU  - Biswas, Sambhunath,
VL  - volume 992
CN  - R857.O6
N1  - Includes author index.
ID  - 922576
KW  - Diagnostic imaging
KW  - Imaging systems in medicine
KW  - Computer vision
SN  - 9789811387982
SN  - 9811387982
TI  - Computer vision and machine intelligence in medical image analysis :international symposium, ISCMM 2019 /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8798-2
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8798-2
ER  -