Detection of Dental Diseases through X-Ray Images Using Neural Search Architecture Network

Learning compact and discriminative hybrid neural network for dental caries classification

(2021) L Megalan Leo et al.   MICROPROCESSORS AND MICROSYSTEMS

Automated COVID‐19 detection in chest X‐ray images using fine‐tuned deep learning architectures

(2021) Sonam Aggarwal et al.   EXPERT SYSTEMS

Implementation of the QoS framework using fog computing to predict COVID-19 disease at early stage

(2021) Prabhdeep Singh et al.   World Journal of Engineering

Tooth detection and classification on panoramic radiographs for automatic dental chart filing: improved classification by multi-sized input data

(2020) Chisako Muramatsu et al.   Oral Radiology

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

(2020) Maxime Blain et al.   Diagnostic and Interventional Radiology

BB-UNet: U-Net With Bounding Box Prior

(2020) Rosana El Jurdi et al.   IEEE Journal of Selected Topics in Signal Processing

Tooth detection and numbering in panoramic radiographs using convolutional neural networks

(2019) Dmitry V. Tuzoff et al.   DENTOMAXILLOFACIAL RADIOLOGY

Digital pathology and artificial intelligence

(2019) Muhammad Khalid Khan Niazi et al.   LANCET ONCOLOGY

Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography

(2019) Motoki Fukuda et al.   Oral Radiology

An Effective Teeth Recognition Method Using Label Tree with Cascade Network Structure

(2018) Kailai Zhang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification

(2018) Mugahed A. Al-antari et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated delineation of thyroid nodules in ultrasound images using spatial neutrosophic clustering and level set

(2016) Deepika Koundal et al.   APPLIED SOFT COMPUTING