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All Journal ComEngApp : Computer Engineering and Applications Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIN (Jurnal Online Informatika) Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputasi Sebatik Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Informatika dan Rekayasa Elektronik Jurnal Mnemonic Bubungan Tinggi: Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Jurnal Teknik Informatika (JUTIF) Journal of Data Science and Software Engineering Jurnal INFOTEL Jurnal Informatika Polinema (JIP) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Rudy Herteno
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Comparative Analysis of YOLO11 and Mask R-CNN for Automated Glaucoma Detection Fayyadh, Muhammad Naufaldi; Saragih, Triando Hamonangan; Farmadi, Andi; Mazdadi, Muhammad Itqan; Herteno, Rudy; Abdullayev, Vugar
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 8 No 1 (2026): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v8i1.1266

Abstract

Glaucoma is a progressive optic neuropathy and a major cause of irreversible blindness. Early detection is crucial, yet current practice depends on manual estimation of the vertical Cup-to-Disc Ratio (vCDR), which is subjective and inefficient. Automated fundus image analysis provides scalable solutions but is challenged by low optic cup contrast, dataset variability, and the need for clinically interpretable outcomes. This study aimed to develop and evaluate an automated glaucoma screening pipeline based on optic disc (OD) and optic cup (OC) segmentation, comparing a single-stage model (YOLO11-Segmentation) with a two-stage model (Mask R-CNN with ResNet50-FPN), and validating it using vCDR at a threshold of 0.7. The contributions are fourfold: establishing a benchmark comparison of YOLO11 and Mask R-CNN across three datasets (REFUGE, ORIGA, G1020); linking segmentation accuracy to vCDR-based screening; analyzing precision–recall trade-offs between the models; and providing a reproducible baseline for future studies. The pipeline employed standardized preprocessing (optic nerve head cropping, resizing to 1024×1024, conservative augmentation). YOLO11 was trained for 200 epochs, and Mask R-CNN for 75 epochs. Evaluation metrics included Dice, Intersection over Union (IoU), mean absolute error (MAE), correlation, and classification performance. Results showed that Mask R-CNN achieved higher disc Dice (0.947 in G1020, 0.938 in REFUGE) and recall (0.880 in REFUGE), while YOLO11 attained stronger vCDR correlation (r = 0.900 in ORIGA) and perfect precision (1.000 in G1020). Overall accuracy exceeded 0.92 in REFUGE and G1020. In conclusion, YOLO11 favored conservative screening with fewer false positives, while Mask R-CNN improved sensitivity. These complementary strengths highlight the importance of model selection by screening context and suggest future research on hybrid frameworks and multimodal integration
Co-Authors Abdullayev, Vugar Achmad Zainudin Nur Adawiyah, Laila Adela Putri Ariyanti Aflaha, Rahmina Ulfah Ahmad Juhdi Ahmad Rusadi Akhtar, Zarif Bin Al Ghifari, Muhammad Akmal Al Habesyah, Noor Zalekha Alfando, Muhammad Alvin Andi - Farmadi Andi Farmadi Andi Farmadi Andi Farmadi Angga Maulana Akbar Antoh, Soterio Arifin Hidayat Aryanti, Agustia Kuspita Athavale, Vijay Anant Azizah, Azkiya Nur Azizah, Siti Roziana Bahriddin Abapihi Dendy Fadhel Adhipratama Dendy Dodon Turianto Nugrahadi Dwi Kartini Dwi Kartini, Dwi Emma Andini Faisal, M. Reza Fatma Indriani Fauzan Luthfi, Achmad Favorisen R. Lumbanraja Fayyadh, Muhammad Naufaldi Febrian, Muhamad Michael Friska Abadi Ghinaya, Helma Hartati Hartati Hermiati, Arya Syifa Huynh, Phuoc-Hai Irwan Budiman Irwan Budiman Itqan Mazdadi, Muhammad Junaidi, Ridha Fahmi Lilies Handayani Lisnawati M Kevin Warendra Mariana Dewi Miftahul Muhaemen Muflih Ihza Rifatama Muhammad Alkaff Muhammad Anshari Muhammad Azmi Adhani Muhammad Denny Ersyadi Rahman Muhammad Itqan Mazdadi Muhammad Noor Muhammad Reza Faisal, Muhammad Reza Muhammad Rizky Mubarok Muhammad Sholih Afif Muhammad Syahriani Noor Basya Basya Muliadi Muliadi MULIADI -, MULIADI Muliadi Muliadi Muliadi Muliadi Muliadi Muliadi Nabella, Putri Nafis Satul Khasanah Ngo, Luu Duc Noor Hidayah Noryasminda Nur Hidayatullah, Wildan Nurdiansyah Nurdiansyah Nursyifa Azizah Oni Soesanto Pratama, Muhammad Yoga Adha Putri Nabella Putri, Nitami Lestari Radityo Adi Nugroho Rahmad Ubaidillah Rahmat Ramadhani Raidra Zeniananto Ramadhan, As`'ary Reza Faisal, Mohammad Rizky Ananda, Muhammad Rozaq, Hasri Akbar Awal Saputro, Setyo Wahyu Saragih, Triando Hamonangan Setyo Wahyu Saputro Siti Aisyah Solechah Suci Permata Sari Suryadi, Mulia Kevin Tri Mulyani Ulya, Azizatul Vina Maulida, Vina Wahyu Ramadansyah Wahyu Saputro, Setyo Zaini Abdan Zamzam, Yra Fatria