Prediction of Parkinson's disease by transcranial sonography-based deep learning.

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Title: Prediction of Parkinson's disease by transcranial sonography-based deep learning.
Authors: Ding CW; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China., Ren YK; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China., Wang CS; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China., Zhang YC; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China. zyc1234@suda.edu.com., Zhang Y; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China., Yang M; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China., Mao P; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China., Sheng YJ; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China., Chen XF; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China., Liu CF; Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
Source: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology [Neurol Sci] 2024 Jun; Vol. 45 (6), pp. 2641-2650. Date of Electronic Publication: 2023 Nov 20.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 100959175 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1590-3478 (Electronic) Linking ISSN: 15901874 NLM ISO Abbreviation: Neurol Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1590-3478
DOI:10.1007/s10072-023-07154-4