TY  - GEN
N2  - This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.
DO  - 10.1007/978-981-16-7771-7
DO  - doi
AB  - This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.
T1  - Intelligent vision in healthcare /
DA  - 2022.
CY  - Singapore :
AU  - Saraswat, Mukesh,
AU  - Sharma, Harish,
AU  - Arya, Karm Veer,
CN  - R859.7.C67
PB  - Springer,
PP  - Singapore :
PY  - 2022.
ID  - 1444048
KW  - Computer vision in medicine.
KW  - Artificial intelligence
KW  - Vision par ordinateur en médecine.
KW  - Intelligence artificielle en médecine.
SN  - 9789811677717
SN  - 9811677719
TI  - Intelligent vision in healthcare /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7771-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7771-7
ER  -