… consumption, this paper proposed a multi-view CNN able to faithfully estimate the severity
of sinusitis. In this study, a multi-view convolutional neural network (CNN) is proposed which …

… The value of the FID score depends on the particular feature representations obtained
from a pre-trained deep convolutional neural network, for example Inception v3. …

… sinuses and showing abnormalities in suspected Maxillary Sinusitis. The purpose of this …
Deep-learning classification using convolutional neural network for evaluation of maxillary …

… A convolutional neural network (CNN) is a type of ANN that processes data with grid-like
structures (such as images). Natural language processing (NLP) is an entirely different subset …

… of maxillary sinusitis from panoramic radiographs and cone-beam computed tomographic
images using a convolutional neural network… Aux-MVNet: Auxiliary Classifier-Based Multi-View …

… measure the anterior maxillary and mandibular bone height and ridge angle with respect to
the maxillary and mandibular planes. The mean height of the bone in the maxilla was found …

Various machine-learning schemes have been proposed to diagnose glaucoma. They can
classify subjects into ‘normal’ or ‘glaucoma’-positive but cannot determine the severity of the …

Basal cell carcinoma (BCC) is the most common form of cutaneous neoplasia in humans, and
dermoscopy may provide valuable information for histopathological classification of BCC, …

… interventions performed on the maxillary sinus in sinusitis of … jaw, operations on the maxillary
sinus accounted for 58.8 % (… of persons with foreign bodies of the maxillary sinus (MS) was …

… To analyze the frequency and structure of foreign bodies in the maxillary sinus (MS) as one
of … Aux-MVNet: auxiliary classifier-based multiview convolutional neural network for maxillary …