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Academic Journal

Computer-Aided-Diagnosis as a Service on Decentralized Medical Cloud for Efficient and Rapid Emergency Response Intelligence.

Authors : Peyvandi, Amirhossein¹ (AUTHOR); Majidi, Babak^1,2 (AUTHOR) ; Peyvandi, Soodeh³ (AUTHOR)

Source: New Generation Computing. Nov2021, Vol. 39 Issue 3/4, p677-700. 24p.

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Academic Journal

Estimation of malignancy of pulmonary nodules at CT scans: Effect of computer‐aided diagnosis on diagnostic performance of radiologists.

Authors : Liu, Jiabao¹ (AUTHOR); Zhao, Liqin¹ (AUTHOR); Han, Xianjun¹ (AUTHOR)

Source: Asia Pacific Journal of Clinical Oncology. Jun2021, Vol. 17 Issue 3, p216-221. 6p.

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Academic Journal

A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images.

Authors : Syed, Hassaan Haider¹ (AUTHOR); Khan, Muhammad Attique¹ (AUTHOR); Tariq, Usman² (AUTHOR)

Source: Behavioural Neurology. 12/27/2021, p1-13. 13p.

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Academic Journal

A beneficial role of computer-aided diagnosis system for less experienced physicians in the diagnosis of thyroid nodule on ultrasound.

Authors : Kang, Sunyoung^1,2,3 (AUTHOR); Lee, Eunjung⁴ (AUTHOR); Chung, Chae Won^1,2 (AUTHOR)

Source: Scientific Reports. 10/21/2021, Vol. 11 Issue 1, p1-8. 8p.

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Academic Journal

A beneficial role of computer-aided diagnosis system for less experienced physicians in the diagnosis of thyroid nodule on ultrasound.

Authors : Kang, Sunyoung^1,2,3 (AUTHOR); Lee, Eunjung⁴ (AUTHOR); Chung, Chae Won^1,2 (AUTHOR)

Source: Scientific Reports. 10/14/2021, Vol. 11 Issue 1, p1-8. 8p.

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Academic Journal

A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification.

Authors : Arshad, Mehak¹ (AUTHOR); Khan, Muhammad Attique¹ (AUTHOR); Tariq, Usman² (AUTHOR)

Source: Computational Intelligence & Neuroscience. 12/6/2021, p1-15. 15p.

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Academic Journal

Automatic brain tumor segmentation for a computer‐aided diagnosis system.

Authors : Abdelaziz, Mohammed^1,2 (AUTHOR) ; Cherfa, Yazid¹ (AUTHOR); Cherfa, Assia¹ (AUTHOR)

Source: International Journal of Imaging Systems & Technology. Dec2021, Vol. 31 Issue 4, p2226-2236. 11p.

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Academic Journal

基于代谢组学腰椎间盘退变的计算机辅助诊断.

Authors : 江丽红¹; 吴晓锋¹; 欧阳林^2,3

Source: Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu. 8/28/2021, Vol. 25 Issue 24, p3796-3803. 8p.

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Academic Journal

Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model.

Authors : Udriștoiu, Anca Loredana¹ (AUTHOR); Cazacu, Irina Mihaela² (AUTHOR); Gruionu, Lucian Gheorghe³ (AUTHOR)

Source: PLoS ONE. 6/28/2021, Vol. 16 Issue 6, p1-12. 12p.

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Academic Journal

THREE-DIMENSIONAL ASSESSMENT OF THE SAGITTAL CONDYLAR INCLINATION IN SKELETAL CLASS II PATIENTS BASED ON COMPUTER AIDED DIAGNOSIS AXIOGRAPH AND CONE-BEAM COMPUTED TOMOGRAPHY.

Authors : JIANG, PAN¹ (AUTHOR) ; BAI, YUXING¹ (AUTHOR) ; HU, FEI² (AUTHOR)

Source: Journal of Mechanics in Medicine & Biology. Jun2021, Vol. 21 Issue 5, pN.PAG-N.PAG. 14p.

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فلترة النتائج

Computer-Aided-Diagnosis as a Service on Decentralized Medical Cloud for Efficient and Rapid Emergency Response Intelligence.

Estimation of malignancy of pulmonary nodules at CT scans: Effect of computer‐aided diagnosis on diagnostic performance of radiologists.

A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images.

A beneficial role of computer-aided diagnosis system for less experienced physicians in the diagnosis of thyroid nodule on ultrasound.

A beneficial role of computer-aided diagnosis system for less experienced physicians in the diagnosis of thyroid nodule on ultrasound.

A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification.

Automatic brain tumor segmentation for a computer‐aided diagnosis system.

基于代谢组学腰椎间盘退变的计算机辅助诊断.

Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model.

THREE-DIMENSIONAL ASSESSMENT OF THE SAGITTAL CONDYLAR INCLINATION IN SKELETAL CLASS II PATIENTS BASED ON COMPUTER AIDED DIAGNOSIS AXIOGRAPH AND CONE-BEAM COMPUTED TOMOGRAPHY.

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