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Exploring Image Classification of Thyroid Ultrasound Images Using Deep Learning

  • K. V. Sai SundarEmail author
  • Kumar T. Rajamani
  • S. Siva Sankara Sai
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Deep learning for medical imaging has been at the forefront of its numerous applications, thanks to its versatility and robustness in deployment. In this paper, we explore various classification methodologies that are employed for datasets of relatively small in size to actually train a deep learning algorithm from scratch. Thyroid ultrasound images are classified using a small CNN from scratch, transfer learning and fine-tuning of Inception-v3, VGG-16. We present a comparison of the aforementioned methods through accuracy, sensitivity, and specificity.

Keywords

Deep learning Medical image analysis Thyroid ultrasound 

Notes

Acknowledgements

We would like to express our gratitude to our founder chancellor Bhagwan Sri Sathya Sai Baba for His inspiration. We would like to thank Department of Physics and Department of Mathematics and computer science for their support and also Dr. Narsimhan and Dr. Trimurthy from the Sri Sathya Sai Mobile hospital for their valuable insights. Consent of all participants was taken.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • K. V. Sai Sundar
    • 1
    Email author
  • Kumar T. Rajamani
    • 2
  • S. Siva Sankara Sai
    • 1
  1. 1.Sri Sathya Sai Institute of Higher LearningPuttaparthiIndia
  2. 2.Robert BoschBangaloreIndia

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