Automatic Rib Fracture Detection and Localization from Frontal and Oblique Chest X-Rays

Authors: Tsai, Hsin-Chun, Qu, Yang-Yen, Lin, Chuan-Han, Lu, Nan-Han, Liu, Kuo-Ying, Wang, Jhing-Fa

Source: 2022 10th International Conference on Orange Technology (ICOT) Orange Technology (ICOT), 2022 10th International Conference on. :1-4 Nov, 2022

Relation: 2022 10th International Conference on Orange Technology (ICOT)

Cascading AB‐YOLOv5 and PB‐YOLOv5 for rib fracture detection in frontal and oblique chest X‐ray images

Authors: Tsai, Hsin‐Chun, Lu, Nan‐Han, Liu, Kuo‐Ying, Lin, Chuan‐Han, Wang, Jhing‐Fa

Source: IET computer vision. 17(7):750-762

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100195126126.0x000001&indx=1&recIds=ETOCvdc_100195126126.0x000001

Automatic ROI Segmentation in B-Mode Ultrasound Image for Liver Fibrosis Classification

Authors: Lu, Nan-Han, Kuo, Chung-Ming, Ding, Hueisch-Jy

Source: 2013 International Symposium on Biometrics and Security Technologies Biometrics and Security Technologies (ISBAST), 2013 International Symposium on. :10-13 Jul, 2013

Relation: 2013 International Symposium on Biometrics and Security Technologies (ISBAST)

Transfer learning with CNNs for efficient prostate cancer and BPH detection in transrectal ultrasound images.

Authors: Huang, Te-Li¹ (AUTHOR), Lu, Nan-Han^2,3,4 (AUTHOR) ed103911@edah.org.tw, Huang, Yung-Hui² (AUTHOR), Twan, Wen-Hung⁵ (AUTHOR), Yeh, Li-Ren⁶ (AUTHOR), Liu, Kuo-Ying⁴ (AUTHOR), Chen, Tai-Been^2,7 (AUTHOR) ctb@isu.edu.tw

Source: Scientific Reports. 12/9/2023, Vol. 13 Issue 1, p1-9. 9p.

Subject Terms: *ENDORECTAL ultrasonography, *CONVOLUTIONAL neural networks, *ULTRASONIC imaging, *EARLY detection of cancer, *BENIGN prostatic hyperplasia, *PROSTATE cancer

Significant predictor for function of left ventricleby systolic volume ratio with cardiac MDCT

Authors: Liu, Kuo-Ying, Lu, Nan-Han, Huang, Yung-Hui, Chen, Tai-Been

Source: 2013 International Symposium on Next-Generation Electronics Next-Generation Electronics (ISNE), 2013 IEEE International Symposium on. :189-191 Feb, 2013

Relation: 2013 International Symposium on Next-Generation Electronics (ISNE)

The quantitative analysis of liver ultrasound images by depth correction

Authors: Hsu, Shih-Yen, Du, Wei-Chang, Lu, Nan-Han, Huang, Yung-Hui, Chen, Tai-Been

Source: 2013 International Symposium on Next-Generation Electronics Next-Generation Electronics (ISNE), 2013 IEEE International Symposium on. :528-530 Feb, 2013

Relation: 2013 International Symposium on Next-Generation Electronics (ISNE)

CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound.

Authors: Wang, Yi-Ming, Wang, Chi-Yuan, Liu, Kuo-Ying, Huang, Yung-Hui, Chen, Tai-Been, Chiu, Kon-Ning, Liang, Chih-Yu, Lu, Nan-Han

Source: Tomography: A Journal for Imaging Research; Dec2024, Vol. 10 Issue 12, p2038-2057, 20p

Subject Terms: CONVOLUTIONAL neural networks, MACHINE learning, DATA augmentation, DEEP learning, ARTIFICIAL intelligence

Deep Learning-Based Object Detection Strategies for Disease Detection and Localization in Chest X-Ray Images.

Authors: Cheng, Yi-Ching, Hung, Yi-Chieh, Huang, Guan-Hua, Chen, Tai-Been, Lu, Nan-Han, Liu, Kuo-Ying, Lin, Kuo-Hsuan

Source: Diagnostics (2075-4418); Dec2024, Vol. 14 Issue 23, p2636, 19p

Subject Terms: OBJECT recognition (Computer vision), CONVOLUTIONAL neural networks, X-ray imaging, IMAGE analysis, DEEP learning

Using Key Predictors in an SVM Model for Differentiating Spinal Fractures and Herniated Intervertebral Discs in Preoperative Anesthesia Evaluation.

Authors: Yang, Shih-Ying, Hsu, Shih-Yen, Su, Yi-Kai, Lu, Nan-Han, Liu, Kuo-Ying, Chen, Tai-Been, Chiu, Kon-Ning, Huang, Yung-Hui, Yeh, Li-Ren

Source: Diagnostics (2075-4418); Nov2024, Vol. 14 Issue 21, p2456, 17p

Subject Terms: VERTEBRAL fractures, RADIAL basis functions, SUPPORT vector machines, SPINAL anesthesia, INTERVERTEBRAL disk

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Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction

Authors: Huang, Guan‐Hua, Lin, Chih‐Hsuan, Cai, Yu‐Ren, Chen, Tai‐Been, Hsu, Shih‐Yen, Lu, Nan‐Han, Chen, Huei‐Yung, Wu, Yi‐Chen

Source: Statistical analysis and data mining. 13(5):508-523

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100108147167.0x000001&indx=1&recIds=ETOCvdc_100108147167.0x000001

Segmentation of liver tumors with abdominal computed tomography using fully convolutional networks.

Authors: Chen, Chih-I^1,2,3,4,5 (AUTHOR), Lu, Nan-Han^6,7,8 (AUTHOR), Huang, Yung-Hui⁸ (AUTHOR), Liu, Kuo-Ying⁷ (AUTHOR), Hsu, Shih-Yen⁴ (AUTHOR), Matsushima, Akari⁹ (AUTHOR), Wang, Yi-Ming^4,10 (AUTHOR) ctb@isu.edu.tw, Chen, Tai-Been^8,11 (AUTHOR) ctb@isu.edu.tw

Source: Journal of X-Ray Science & Technology. 2022, Vol. 30 Issue 5, p953-966. 14p.

Subject Terms: *LIVER tumors, *COMPUTED tomography, *ABDOMINAL tumors, *DEEP learning, *IMAGE segmentation, *DIAGNOSTIC imaging

A commentary on 'Recurrent appendicitis following successful drainage of appendicular abscess in adult without interval appendectomy during COVID-19. Prospective cohort study' (Int J Surg 2022;97:106200)

Authors: Shi, Hon-Yi, Lee, Po-Huang, Tsai, I-Ting, Lu, Nan-Han, Chiu, Chong-Chi

Source: International journal of surgery. 99

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100157530785.0x000001&indx=1&recIds=ETOCvdc_100157530785.0x000001

Identifying the Posture of Young Adults in Walking Videos by Using a Fusion Artificial Intelligent Method.

Authors: Lee, Posen¹, posenlee@isu.edu.tw, Chen, Tai-Been^2,3, ctb@isu.edu.twghuang@stat.nctu.edu.tw, Liu, Chin-Hsuan^1,4, isu6a394@cloud.isu.edu.tw, Wang, Chi-Yuan², wang1b011@isu.edu.tw, Huang, Guan-Hua³, Lu, Nan-Han^2,5,6, ed103911@edah.org.tw

Source: Biosensors (2079-6374); May2022, Vol. 12 Issue 5, p295, 11p

Opportunistic Breast Density Assessment in Women Receiving Low-dose Chest Computed Tomography Screening

Authors: Chen, Jeon-Hor ^*, Chan, Siwa, Lu, Nan-Han, Li, Yifan, Tsai, Yu Chieh, Huang, Po Yun, Chang, Chia-Ju, Su, Min-Ying

Source: In Academic Radiology September 2016 23(9):1154-1161

Delimitated strike artifacts from FBP using a robust morphological structure operation

Authors: Chen, Tai-Been, Chen, Huei-Yung, Lin, Ming-Chia, Lin, Li-Wei, Lu, Nan-Han, Tsai, Fan-Shiu, Huang, Yung-Hui

Source: In Radiation Physics and Chemistry April 2014 97:31-37

Questionable necessity of nitroglycerin for diagnostic coronary artery examination using 320-row multi-detector computed tomography.

Authors: Lu, Nan-Han^1,2,3 (AUTHOR), Liu, Yi-Shan^1,4 (AUTHOR), Liu, Ko-In^3,5,6 (AUTHOR), Hsu, Shih-Yen^3,5,6 (AUTHOR), Huang, Yung-Hui³ (AUTHOR), Sun, Cheuk-Kwan^7,8 (AUTHOR), Chen, Tai-Been³ (AUTHOR) ctb@isu.edu.tw

Source: Journal of X-Ray Science & Technology. 2020, Vol. 28 Issue 5, p989-999. 11p.

Subject Terms: *CORONARY arteries, *COMPUTED tomography, *NITROGLYCERIN, *CORONARY angiography, *PERIODIC health examinations

Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging.

Authors: Su, Hsin-Yueh, Hsieh, Shang-Ting, Tsai, Kun-Zhe, Wang, Yu-Li, Wang, Chi-Yuan, Hsu, Shih-Yen, Liu, Kuo-Ying, Huang, Yung-Hui, Wei, Ya-Wen, Lu, Nan-Han, Chen, Tai-Been

Source: Journal of X-Ray Science & Technology; 2023, Vol. 31 Issue 6, p1315-1332, 18p

Subject Terms: DEEP learning, PICTURE archiving & communication systems, CONVOLUTIONAL neural networks, IMAGE fusion, SUPPORT vector machines, DIAGNOSTIC imaging

Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models.

Authors: Wang, Jing-Zhe, Lu, Nan-Han, Du, Wei-Chang, Liu, Kuo-Ying, Hsu, Shih-Yen, Wang, Chi-Yuan, Chen, Yun-Ju, Chang, Li-Ching, Twan, Wen-Hung, Chen, Tai-Been, Huang, Yung-Hui

Source: Healthcare (2227-9032); Aug2023, Vol. 11 Issue 15, p2228, 19p

Subject Terms: STATISTICS, HYPERTENSION, REFERENCE values, RETINAL degeneration, GLAUCOMA, MYOPIA, MACHINE learning, ACCURACY, DIAGNOSTIC imaging, COMPARATIVE studies, PHOTOGRAPHY, DESCRIPTIVE statistics, RESEARCH funding, ARTIFICIAL neural networks, SENSITIVITY & specificity (Statistics), LOGISTIC regression analysis, EYE diseases, EYE examination, EARLY diagnosis

Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography.

Authors: Lin, Kuo-Hsuan, Lu, Nan-Han, Okamoto, Takahide, Huang, Yung-Hui, Liu, Kuo-Ying, Matsushima, Akari, Chang, Che-Cheng, Chen, Tai-Been

Source: Healthcare (2227-9032); May2023, Vol. 11 Issue 10, p1367, 15p

Subject Terms: COMPUTERS in medicine, DEEP learning, SUPPORT vector machines, STATISTICS, COVID-19, CHEST X rays, PREDICTIVE tests, DIAGNOSTIC imaging, DESCRIPTIVE statistics, RESEARCH funding, ARTIFICIAL neural networks