Deep learning generative adversarial network model for automated detection of diabetic retinopathy

• 主要な著者: Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani, Amir Hussin, Amir 'Aatieff, Shafie, Muhammad Laziem, Muhamad Ridzuan, Aishah Nabilah
• フォーマット: Proceeding Paper
• 言語: English; English
• 出版事項: AIP Publishing 2024
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://irep.iium.edu.my/113226/2/113226_Deep%20learning%20generative.pdf; http://irep.iium.edu.my/113226/1/113226_Deep%20learning%20generative_SCOPUS.pdf; http://irep.iium.edu.my/113226/; https://pubs.aip.org/aip/acp/article-abstract/2729/1/060001/3262420/Deep-learning-generative-adversarial-network-model?redirectedFrom=fulltext

Diabetic retinopathy (DR) is a leading disease that cause impaired vision with a consequence of permanent blindness if it is undiagnosed and untreated at the early stages. Alas, DR often has no early warning sign and may cause no symptoms. Particularly, recent statistics recorded that about 382 mill...