Deep Learning Based Model for the Detection of Polycystic Ovary Syndrome Using Ultrasound Images
| dc.contributor.advisor | Abdur Rab, Irfan Ullah | |
| dc.contributor.author | Al-Amoudi, Abrar Saeed | |
| dc.date.accessioned | 2024-01-09T17:41:21Z | |
| dc.date.available | 2024-01-09T17:41:21Z | |
| dc.date.issued | 2022 | |
| dc.degree.department | Computer Science Department | |
| dc.degree.grantor | Imam Abdulrahman Bin Faisal University | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14154/71029 | |
| dc.language.iso | en | |
| dc.publisher | Imam Abdulrahman Bin Faisal University | |
| dc.subject | Computer Science | |
| dc.subject | Deep Learning | |
| dc.subject | Polycystic Ovary Syndrome | |
| dc.title | Deep Learning Based Model for the Detection of Polycystic Ovary Syndrome Using Ultrasound Images | |
| dc.type | Thesis | |
| sdl.degree.name | Master's Degree |
