Abstract #4805

Machine Learning Techniques for Bone Tumor Segmentation using Diffusion MRI

Sneha Patil¹, Esha Baidya Kayal¹, Sameer Bakhshi², Raju Sharma³, Devasenathipathy Kandasamy³, and Amit Mehndiratta^1,4

¹Center for Biomedical Engineering, Indian Institute of Technology, Delhi, India, New Delhi, India, ²Medical Oncology, IRCH, All India Institute of Medical Sciences, New Delhi, India, New Delhi, India, ³Radio Diagnosis, All India Institute of Medical Sciences, New Delhi, India, New Delhi, India, ⁴Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India, New Delhi, India

Automatic and accurate segmentation of osteosarcoma region in MRI images can assist doctor to prepare a feasible treatment plan, hence resulting in improved cure rate. The purpose of this study was to evaluate and compare the performance of automated and semi-automated algorithms that might be effective in segmenting bone tumor in MRI data, with reasonable accuracy, speed and minimal manual input. The results are very conclusive for efficient performance.

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