Kim, Min-Hyun Park, Jongchan Choi, Seibum
Published in
International Journal of Automotive Technology
Every land moving object accelerates or decelerates based on the fictional coefficient of the road surface. It has been known that this coefficient on the road is determined by the type of road surface. In this work, we propose a simplistic, machine-learning based solution to estimate the road type using the reflected ultrasonic signals paired with...
Li, Zongyao Kitajima, Kazuhiro Hirata, Kenji Togo, Ren Takenaka, Junki Miyoshi, Yasuo Kudo, Kohsuke Ogawa, Takahiro Haseyama, Miki
Published in
EJNMMI Research
BackgroundTo improve the diagnostic accuracy of axillary lymph node (LN) metastasis in breast cancer patients using 2-[18F]FDG-PET/CT, we constructed an artificial intelligence (AI)-assisted diagnosis system that uses deep-learning technologies.Materials and methodsTwo clinicians and the new AI system retrospectively analyzed and diagnosed 414 axil...
Kumari, Punam Seeja, K. R.
Published in
Journal of Ambient Intelligence and Humanized Computing
The outbreak of novel coronavirus in 2019 has shaken the whole world and it quickly evolved as a global pandemic, placing everyone in a panic situation. Considering its long-term effects on day to day lives, the necessity of wearing face mask and social distancing brings in picture the requirement of a contact less biometric system for all future a...
Zhang, Yu-Dong Satapathy, Suresh Chandra Liu, Shuaiqi Li, Guang-Run
Published in
Machine Vision and Applications
Till August 17, 2020, COVID-19 has caused 21.59 million confirmed cases in more than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect COVID-19. This study proposed a novel deep learning model that can diagnose COVID-19 on chest CT more accurately and swiftly. Based on traditional deep convolutional neural ne...
Dang, Jinyuan Li, Hu Niu, Kai Xu, Zhiyuan Lin, Jianhao He, Zhiqiang
Published in
Computer methods and programs in biomedicine
Kashin-Beck Disease (KBD) is a serious endemic bone disease leading to short stature. The early radiological examinations are crucial for potential patients. However, many children in rural China cannot be diagnosed in time due to the shortage of professional orthopedists. In this paper, an algorithm is developed to automatically screening KBD base...
Cong, Hanhan Liu, Hong Chen, Yuehui Cao, Yi
Published in
Medical & biological engineering & computing
In the present paper, deep convolutional neural network (DCNN) is applied to multilocus protein subcellular localization as it is more suitable for multi-class classification. There are two main problems with this application. First, the appropriate features for correlation between multiple sites are hard to find. Second, the classifier structure i...
Pan, Zhouxian Shen, Zhen Zhu, Huijuan Bao, Yin Liang, Siyu Wang, Shirui Li, Xiangying Niu, Lulu Dong, Xisong Shang, Xiuqin
...
Published in
Endocrine
Automated facial recognition technology based on deep learning has achieved high accuracy in diagnosing various endocrine diseases and genetic syndromes. This study attempts to establish a facial diagnostic system for Turner syndrome (TS) based on deep convolutional neural networks. Photographs of 207 TS patients and 1074 female controls were colle...
Nakashima, Hirotaka Kawahira, Hiroshi Kawachi, Hiroshi Sakaki, Nobuhiro
Published in
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Helicobacter pylori (H. pylori) eradication is required to reduce incidence related to gastric cancer. Recently, it was found that even after the successful eradication of H. pylori, an increased, i.e., moderate, risk of gastric cancer persists in patients with advanced mucosal atrophy and/or intestinal metaplasia. This study aimed to develop a com...
Liu, Caixia Pang, Mingyong
Published in
Journal of digital imaging
Lung segmentation is a key step of thoracic computed tomography (CT) image processing, and it plays an important role in computer-aided pulmonary disease diagnostics. However, the presence of image noises, pathologies, vessels, individual anatomical varieties, and so on makes lung segmentation a complex task. In this paper, we present a fully autom...
Maaref, Ahmad Romero, Francisco Perdigon Montagnon, Emmanuel Cerny, Milena Nguyen, Bich Vandenbroucke, Franck Soucy, Geneviève Turcotte, Simon Tang, An Kadoury, Samuel
...
Published in
Journal of digital imaging
In developed countries, colorectal cancer is the second cause of cancer-related mortality. Chemotherapy is considered a standard treatment for colorectal liver metastases (CLM). Among patients who develop CLM, the assessment of patient response to chemotherapy is often required to determine the need for second-line chemotherapy and eligibility for ...
