Chen, Ta-Ching Lim, Wee Shin Wang, Victoria Y Ko, Mei-Lan Chiu, Shu-I Huang, Yu-Shu Lai, Feipei Yang, Chung-May Hu, Fung-Rong Jang, Jyh-Shing Roger
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Published in
Journal of digital imaging
The purpose of this study was to detect the presence of retinitis pigmentosa (RP) based on color fundus photographs using a deep learning model. A total of 1670 color fundus photographs from the Taiwan inherited retinal degeneration project and National Taiwan University Hospital were acquired and preprocessed. The fundus photographs were labeled R...
Zhang, Yang Chan, Siwa Chen, Jeon-Hor Chang, Kai-Ting Lin, Chin-Yao Pan, Huay-Ben Lin, Wei-Ching Kwong, Tiffany Parajuli, Ritesh Mehta, Rita S
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Published in
Journal of digital imaging
To develop a U-net deep learning method for breast tissue segmentation on fat-sat T1-weighted (T1W) MRI using transfer learning (TL) from a model developed for non-fat-sat images. The training dataset (N = 126) was imaged on a 1.5 T MR scanner, and the independent testing dataset (N = 40) was imaged on a 3 T scanner, both using fat-sat T1W pulse se...
Caffery, Liam Weber, Jochen Kurtansky, Nicholas Clunie, David Langer, Steve Shih, George Halpern, Allan Rotemberg, Veronica
Published in
Journal of digital imaging
Nemirovsky, Daniel R Garcia, Andrew J Gupta, Puneet Shoen, Ezra Walia, Naval
Published in
Journal of digital imaging
Over the past two decades, there have been numerous attempts at using surgical simulation software for training purposes. There has been extensive prior success at using digital laparoscopic tools and virtual and augmented reality in strengthening specific surgical techniques, but clinical decision-making simulation has been limited to multiple cho...
Deng, Yang You, Lei Wang, Yanfei Zhou, Xiaobo
Published in
Journal of digital imaging
Knee osteoarthritis (OA) is a degenerative joint disease that is prevalent in advancing age. The pathology of OA disease is still unclear, and there are no effective interventions that can completely alter the OA disease process. Magnetic resonance (MR) image evaluation is sensitive for depicting early changes of knee OA, and therefore important fo...
Afzali, Ali Babapour Mofrad, Farshid Pouladian, Majid
Published in
Journal of digital imaging
Accurate information of the lung shape analysis and its anatomical variations is very noticeable in medical imaging. The normal variations of the lung shape can be interpreted as a normal lung. In contrast, abnormal variations of the lung shape can be a result of one of the pulmonary diseases. The goal of this study is twofold: (1) represent two lu...
Filice, Ross W
Published in
Journal of digital imaging
Penczek, J Boynton, P A Beams, R Sriram, R D
Published in
Journal of digital imaging
Visual information is a critical component in the evaluation and communication of patient medical information. As display technologies have evolved, the medical community has sought to take advantage of advances in wider color gamuts, greater display portability, and more immersive imagery. These image quality enhancements have shown improvements i...
Li, Ye Huang, Jingrui Huang, Tao Tang, Jie Zhang, Wenyao Xu, Wenlong Wang, Ning Deng, Yongbing Yu, Xing Xu, Lei
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Published in
Journal of digital imaging
Penetrating brain injury caused by a nail is an extremely rare neurosurgical emergency that poses a challenge for neurosurgeons. Nail entering the brain from the orbit and lodging within the cranial cavity is even more unusual. A 53-year-old male was found unconscious at a construction site, and brain CT revealed not only the presence of a nail ben...
Wang, Zheng Xiao, Ying Weng, Futian Li, Xiaojun Zhu, Danhua Lu, Fanggen Liu, Xiaowei Hou, Muzhou Meng, Yu
Published in
Journal of digital imaging
Jaundice occurs as a symptom of various diseases, such as hepatitis, the liver cancer, gallbladder or pancreas. Therefore, clinical measurement with special equipment is a common method that is used to identify the total serum bilirubin level in patients. Fully automated multi-class recognition of jaundice combines two key issues: (1) the critical ...
