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.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.provenance | Submitted by snv snv (dspace.snv@univ-tebessa.dz) on 2022-07-17T14:31:30Z No. of bitstreams: 1 Habes_Salah_Eddine_(Detection_of_neurodegenerative_diseases_by_the_automatic_analysis_of_handwriting).pdf: 12048538 bytes, checksum: 0cc3cf3be32a609a05d1d2652d7b030b (MD5) | en |
| dc.description.provenance | Made available in DSpace on 2022-07-17T14:31:30Z (GMT). No. of bitstreams: 1 Habes_Salah_Eddine_(Detection_of_neurodegenerative_diseases_by_the_automatic_analysis_of_handwriting).pdf: 12048538 bytes, checksum: 0cc3cf3be32a609a05d1d2652d7b030b (MD5) Previous issue date: 2022 | en |
| dc.description.sponsorship | Bennour A. | en_US |
| dc.identifier.uri | http//localhost:8080/jspui/handle/123456789/4947 | |
| 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 |
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