Auto -Organiser Neural Network Application for Ultrasound Computed Tomographic Image Classification
Résumé
Image classification still be a crucial topic of interest in the field of medical imaging diagnostic. In this paper, we have used a new Ultrasonic Computed Tomography (USCT) prototype giving us USCT bone images. However, given images are difficult to interpret and to classify. As a solution, an Auto Organiser Neural Network has been proposed to classify them automatically into pathologic bone images and healthy images. As a result, we have achieved an accuracy of 94.2% and an excellent value of gradient descent. Obtained results outperforms related works.