Image classification using deep learning algorithm for thyroid imaging
Kwang Gi Kim · 2018 International Workshop on Advanced Image Technology (IWAIT) · 2018
We conduct image differentiation between benignancy and malignancy for ultrasonography image of thyroid, and also classification of false positive reduction from true positive mass of mammogram images, via convolutional neural networks. For thyroid images we have differentiation accuracy over 76%. For mammogram image classification, we obtained over 80% of accuracy for test datasets. We present the numerical result and corresponding convolutional neural network(CNN) architectures.