Deep Strategies in Computer-Assisted Diagnosis and Classification of Abnormalities in Medical Images
Ankit Vidyarthi, Shilpa Gundagatti, Nisha Chaurasia · 2019
Digital diagnosis based on computer-assisted technologies is a procedure that provides another objective consultation to radiologist beyond their knowledge for the assistance of medical image in terms of proper diagnosis and their interpretation. The digital diagnosis became a handful implementation in various imaging forms, such as magnetic resonance imaging, mammography, computed tomography scan, histopathology imaging, and ultrasound diagnostic. Digital diagnosis has found full dependency on how well the proper related informative features were extracted, which were later used for machine learning followed by automatic prediction and analysis of medical images. Deep neural network architecture is a hierarchical computation of multiple layers of neuron stacks. The trends of the associated work on medical images present in literature have focused on some of the benign and malignant images in terms of segmentation, classification, and prediction of malignancy using World Health Organization scale.