Chapter 10: Bone age assessment using metric learning on small dataset of hand radiographs
Shipra Madan, Tapan Kumar Gandhi, and Santanu Chaudhury
Department of Electrical Engineering, Indian Institute of Technology, Delhi, New Delhi, India
Abstract
Bone age is an effective indicator for diagnosis of various diseases and determining the time of treatment. This radiological procedures are performed routinely by paediatrician and endocrinologistis to investigate developmental abnormalities, genetic disorders and metabolic complications. However, estimating bone age is one of the biggest challenge in the domain of radiodiagnosis as it is a time consuming procedure and require domain expertise. In this work, we have proposed metric ...
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