نتائج البحث

Computer‐aided diagnosis of cataract severity using retinal fundus images and deep learning.

• Authors : Yadav, Jay Kant Pratap Singh¹ (AUTHOR) ; Yadav, Sunita¹ (AUTHOR)

• Source: Computational Intelligence. Aug2022, Vol. 38 Issue 4, p1450-1473. 24p.

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Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features.

• Authors : Cavaliere C; Biomedical Engineering Group, Department of Electronics, University of Alcalá, 28801 Alcalá de Henares, Spain.; Vilades E

Subjects: Support Vector Machine* ; Tomography, Optical Coherence*; Diagnosis, Computer-Assisted/Diagnosis, Computer-Assisted/Diagnosis, Computer-Assisted/*methods

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Dec 03; Vol. 19 (23). Date of Electronic Publication: 2019 Dec 03.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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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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Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

• Authors : de Carvalho Filho AO; Applied Computing Group - NCA, Federal University of Maranhão - UFMA, Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, São Luís, MA, 65085-580, Brazil. .; Silva AC

Subjects: Algorithms* ; Support Vector Machine*; Pattern Recognition, Automated/Pattern Recognition, Automated/Pattern Recognition, Automated/*methods

• Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2017 Aug; Vol. 55 (8), pp. 1129-1146. Date of Electronic Publication: 2016 Oct 03.Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Auto diagnostic system for detecting solitary and juxtapleural pulmonary nodules in computed tomography images using machine learning.

• Authors : Karrar, Ayat¹ (AUTHOR); Mabrouk, Mai S.² (AUTHOR); Abdel Wahed, Manal¹ (AUTHOR)

• Source: Neural Computing & Applications. Jan2023, Vol. 35 Issue 2, p1645-1659. 15p.

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Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines.

• Authors : Jaworek-Korjakowska J; Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Aleja Mickiewicza 30, 30-059 Krakow, Poland.

Subjects: Support Vector Machine*/Support Vector Machine*/Support Vector Machine*/statistics & numerical data; Diagnosis, Computer-Assisted/Diagnosis, Computer-Assisted/Diagnosis, Computer-Assisted/*methods ; Melanoma/Melanoma/Melanoma/*diagnosis

• Source: BioMed research international [Biomed Res Int] 2016; Vol. 2016, pp. 4381972. Date of Electronic Publication: 2016 Jun 13.Publisher: Hindawi Pub. Co Country of Publication: United States NLM ID: 101600173 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Computer-aided diagnosis of external and middle ear conditions: A machine learning approach.

• Authors : Viscaino, Michelle; Maass, Juan; Delano, Paul

Subjects: Adolescent; Adult; Cerumen

• Source: PLoS ONE. 15(3)

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An Optimization Algorithm for Computer-Aided Diagnosis of Breast Cancer Based on Support Vector Machine

• Authors : Yifeng Dou; Wentao Meng

Subjects: breast cancer; computer-aided diagnosis; support vector machine

• Source: Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)

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Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns.

• Authors : Aziz, Sumair¹ (AUTHOR) ; Khan, Muhammad Umar¹ (AUTHOR) ; Iqtidar, Khushbakht² (AUTHOR)

• Source: Expert Systems. Sep2022, Vol. 39 Issue 8, p1-19. 19p.

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Computer aided diagnosis method for steatosis rating in ultrasound images using random forests.

• Authors : Mihăilescu DM; Department of Telecommunications, Faculty of Electronics and Telecommunications, Politehnica University, Romania.; Gui V

Subjects: Data Interpretation, Statistical* ; Support Vector Machine*; Fatty Liver/Fatty Liver/Fatty Liver/*diagnostic imaging

• Source: Medical ultrasonography [Med Ultrason] 2013 Sep; Vol. 15 (3), pp. 184-90.Publisher:

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