Detection and classification of mandibular fracture on CT scan using deep convolutional neural network

Deep learning in fracture detection: a narrative review

(2020) Pishtiwan H S Kalmet et al.   Acta Orthopaedica

Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques

(2020) Shunjiro Noguchi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A survey on U-shaped networks in medical image segmentations

(2020) Liangliang Liu et al.   NEUROCOMPUTING

Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images

(2019) Yoga Dwi Pranata et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automatic reconstruction method for high-contrast panoramic image from dental cone-beam CT data

(2019) Zhaoqiang Yun et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Combo loss: Handling input and output imbalance in multi-organ segmentation

(2019) Saeid Asgari Taghanaki et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network

(2019) Bingjiang Qiu et al.   PHYSICS IN MEDICINE AND BIOLOGY

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm

(2018) Seok Won Chung et al.   Acta Orthopaedica

Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans

(2018) Naofumi Tomita et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network

(2018) Takaaki Urakawa et al.   SKELETAL RADIOLOGY

Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures

(2018) Matthew Adams et al.   Journal of Medical Imaging and Radiation Oncology

Deep neural network improves fracture detection by clinicians

(2018) Robert Lindsey et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

(2018) Cem M. Deniz et al.   Scientific Reports

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Deep Learning: A Primer for Radiologists

(2017) Gabriel Chartrand et al.   RADIOGRAPHICS

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

European Maxillofacial Trauma (EURMAT) project: A multicentre and prospective study

(2015) Paolo Boffano et al.   JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY

Mandibular trauma treatment: A comparison of two protocols

(2015) P. Boffano et al.   Medicina Oral Patologia Oral y Cirugia Bucal

Cognitive and System Factors Contributing to Diagnostic Errors in Radiology

(2013) Cindy S. Lee et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Learning from diagnostic errors: A good way to improve education in radiology

(2011) Antonio Pinto et al.   EUROPEAN JOURNAL OF RADIOLOGY

1,454 mandibular fractures: A 3-year study in a hospital in Belo Horizonte, Brazil

(2011) Bruno Ramos Chrcanovic et al.   JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY

Long Radiology Workdays Reduce Detection and Accommodation Accuracy

(2010) Elizabeth A. Krupinski et al.   Journal of the American College of Radiology