TY - JOUR
AU - Siva Sankara Sai, S.
AB - [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.]
TI - Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB): Exploring Image Classification of Thyroid Ultrasound Images Using Deep Learning
DA - 2019-01-02
UR - https://www.deepdyve.com/lp/springer-journals/proceedings-of-the-international-conference-on-ismac-in-computational-lOE8FfeLgt
DP - DeepDyve
ER -