| DC Field | Value | Language |
|---|
| dc.contributor.author | He Tao | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-07-25T09:02:29Z | - |
| dc.date.available | 2024-07-25T09:02:29Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | He Tao. Grad-Cam visualization model for lung disease diagnosis / He Tao // Технологии передачи и обработки информации : материалы Международного научно-технического семинара, Минск, апрель 2024 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. Ю. Цветков [и др.]. – Минск, 2024. – С. 109–111. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/56702 | - |
| dc.description.abstract | When applying the diagnosis of lung diseases in the Internet of Things networks, the
Grand-Cam model can be used to provide assistance to doctors by imaging lungs and diagnosing
diseases. By creating heatmaps of attention, Cad-Cam can visualize areas in an image. Doctors can
observe heat maps to make decisions about the disease and ensure that the model focuses on areas
related to specific lung diseases, increasing the accuracy and reliability of diagnosis. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | Grad-Cam | en_US |
| dc.subject | solution model | en_US |
| dc.subject | heat map of attention | en_US |
| dc.subject | diagnosis of lung diseases | en_US |
| dc.title | Grad-Cam visualization model for lung disease diagnosis | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2024)
|
