ba60f6118992d8a5a224a5 20231122022756552 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2023 12 4 Department of Electrical Engineering, Jadavpur University, Kolkata (West Bengal), India. Goutam Kumar Ghorai https://orcid.org/0009-0009-7656-0323 Swagata Kundu https://orcid.org/0000-0003-4453-5552 Department of Electrical Engineering, National Institute of Technology Durgapur, Durgapur (West Bengal), India. Gautam Sarkar https://orcid.org/0000-0002-1330-2636 Department of Electrical Engineering, Jadavpur University, Kolkata (West Bengal), India. Ashis Kumar Dhara https://orcid.org/0000-0001-8776-3526 Department of Electrical Engineering, National Institute of Technology Durgapur, Durgapur (West Bengal), India. Diabetic retinopathy (DR) is increasing rapidly around the world, but there is a shortage of experienced ophthalmologists. Therefore, computer-based diagnosis of the fundus images is essential to screening of referable DR. Automated detection of red lesions is very important for screening of DR. This paper deals with a novel method for automatic detection of red lesion. The main contribution is developing a deep learning based detection framework to handle severe class imbalance and imbalance in sizes of red lesions. The multi-scale features are extracted using the feature pyramid network. A pyramid of features is generated with strong semantics. The proposed network is end-to-end trainable in image level with several scales and works for a wide range of red lesions with acceptable performance. Sensitivity of the proposed method is 0.76 with six false-positive per image on test set of publicly available DIARECTDB1 database and outperforms state-of-the-art approaches. A potential benefit with deep learning based detection framework could be used in screening programs of referable DR. 11 30 2023 14 19 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true International Journal of Recent Technology and Engineering (IJRTE) No, I did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. All authors have equal participation in this article. 10.35940/ijrte.D7951.1112423 https://www.ijrte.org/portfolio-item/D79511112423/