Detection of neurodegenerativediseases by the automaticanalysis of handwriting

dc.contributor.author	Habes, Salah eddine
dc.date.accessioned	2022-07-17T14:31:30Z
dc.date.available	2022-07-17T14:31:30Z
dc.date.issued	2022
dc.identifier.uri	http//localhost:8080/jspui/handle/123456789/4947
dc.description.abstract	Neurodegenerativediseases (ND) are a serious issue whichencompasses a myriad of complex and incurable disorders. in thisthesis, we focus on Parkinson’sdisease (PD), specifically; the detection of PD though the automaticanalysis of offline handwriting. To accomplishthistask; we propose Park-Net, ourownconvolutional neural network (CNN) architecture. Weproceed to test this CNN on three PD handwritingdatasetsbeforecomparing the results to state-of-the-art works, and with a 98%accuracy, and to the best of ourknowledge; Park-Net outperformsstudies as recent as (2022).	en_US
dc.description.sponsorship	Bennour A.	en_US
dc.language.iso	en	en_US
dc.publisher	Larbi Tebessi University - Tebessa	en_US
dc.title	Detection of neurodegenerativediseases by the automaticanalysis of handwriting	en_US
dc.type	Thesis	en_US