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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/56702
Title: Grad-Cam visualization model for lung disease diagnosis
Authors: He Tao
Keywords: материалы конференций;Grad-Cam;solution model;heat map of attention;diagnosis of lung diseases
Issue Date: 2024
Publisher: БГУИР
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.
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.
URI: https://libeldoc.bsuir.by/handle/123456789/56702
Appears in Collections:Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2024)

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