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2025	Improving Fundus Detection Precision in Diabetic Retinopathy Using Derivative-Based Deep Neural Networks Computer Modeling in Engineering & Sciences Asma Aldrees, Hong Min, Ashit Kumar Dutta, Yousef Ibrahim Daradkeh, Mohd Anjum
2025	Lecture Notes in Networks and Systems Mandicou Ba, Amadou Mbaye, Idy Diop, Alassane Bah
2025	Classification of Retinitis Pigmentosa Stages Based on Machine Learning by Fusion of Image Features of VF and MfERG Maps Electronics Bayram Karaman, Ayşegül Güven, Ayşe Öner, Neslihan Sinim Kahraman
2025	2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN) Krishna Santosh. N, Katru Sri Teja, Koneru Phani Brahma Adithya, Mallavarapu Vivek, Bukka Siva Naga Kranthi
2025	Edge-aware Feature Aggregation Network for Polyp Segmentation Machine Intelligence Research Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan
2025	Lecture Notes in Networks and Systems P. Sudhanya, Jyotiraditya Sharma, Aakash Dilip Kolte, Utkarsh Rai, Rishabh Vyas, R. Jansi
2025	2025 International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI) Giovanus Immanuel, Alvan Reyhanza Vittorino, Simeon Yuda Prasetyo, Eko Setyo Purwanto
2024	Prediction of Diabetic Retinopathy using Deep Learning with Preprocessing EAI Endorsed Transactions on Pervasive Health and Technology S Balaji, B Karthik, D Gokulakrishnan
2024	Detection of Diabetic Retinopathy Using Discrete Wavelet-Based Center-Symmetric Local Binary Pattern and Statistical Features Journal of Imaging Informatics in Medicine Imtiyaz Ahmad, Vibhav Prakash Singh, Manoj Madhava Gore
2024	Retinal Disease Diagnosis Using Deep Learning on Ultra-Wide-Field Fundus Images Diagnostics Toan Duc Nguyen, Duc-Tai Le, Junghyun Bum, Seongho Kim, Su Jeong Song, Hyunseung Choo
2024	A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches Multimedia Tools and Applications Ramazan İncir, Ferhat Bozkurt
2024	Deer Hunting Optimization with 3D-Convolutional Neural Network for Diabetic Retinopathy Classification Model International Journal of Image and Graphics Sesikala Bapatla, J. Harikiran
2024	Grading the severity of diabetic retinopathy using an ensemble of self-supervised pre-trained convolutional neural networks: ESSP-CNNs Multimedia Tools and Applications Saeed Parsa, Toktam Khatibi
2024	Evaluating the potential of retinal photography in chronic kidney disease detection: a review PeerJ Nur Asyiqin Amir Hamzah, Wan Mimi Diyana Wan Zaki, Wan Haslina Wan Abdul Halim, Ruslinda Mustafar, Assyareefah Hudaibah Saad
2024	Dual branch deep learning network for detection and stage grading of diabetic retinopathy Biomedical Signal Processing and Control Hossein Shakibania, Sina Raoufi, Behnam Pourafkham, Hassan Khotanlou, Muharram Mansoorizadeh
2024	Deep learning enabled hemorrhage detection in retina with DPFE and splat segmentation in fundus images Biomedical Signal Processing and Control L. Godlin Atlas, K.P. Arjun, K. Sampath Kumar, Rajesh Kumar Dhanaraj, Anand Nayyar
2024	Computationally efficient deep learning models for diabetic retinopathy detection: a systematic literature review Artificial Intelligence Review Nazeef Ul Haq, Talha Waheed, Kashif Ishaq, Muhammad Awais Hassan, Nurhizam Safie, Nur Fazidah Elias, Muhammad Shoaib
2024	DeepSVDNet: A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images Computer Systems Science and Engineering Anas Bilal, Azhar Imran, Talha Imtiaz Baig, Xiaowen Liu, Haixia Long, Abdulkareem Alzahrani, Muhammad Shafiq
2024	Medtransnet: advanced gating transformer network for medical image classification Machine Vision and Applications Nagur Shareef Shaik, Teja Krishna Cherukuri, N Veeranjaneulu, Jyostna Devi Bodapati
2024	Diabetic retinopathy detection using ensembled transfer learning based thrice CNN with SVM classifier Multimedia Tools and Applications Neetha Merin Thomas, S. Albert Jerome
2023	Strategy for Rapid Diabetic Retinopathy Exposure Based on Enhanced Feature Extraction Processing Computers, Materials & Continua V. Banupriya, S. Anusuya
2023	Classification and Segmentation of Diabetic Retinopathy: A Systemic Review Applied Sciences Natasha Shaukat, Javeria Amin, Muhammad Imran Sharif, Muhammad Irfan Sharif, Seifedine Kadry, Lukas Sevcik
2023	A deep neural network and machine learning approach for retinal fundus image classification Healthcare Analytics Rohit Thanki
2023	Recent developments on computer aided systems for diagnosis of diabetic retinopathy: a review Multimedia Tools and Applications Shradha Dubey, Manish Dixit
2023	Optimized quaternion radial Hahn Moments application to deep learning for the classification of diabetic retinopathy Multimedia Tools and Applications Mohamed Amine Tahiri, Hicham Amakdouf, Mostafa El mallahi, Hassan Qjidaa
2023	Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods Information Ashokkumar Palanivinayagam, Robertas Damaševičius
2023	A Tailored Complex Medical Decision Analysis Model for Diabetic Retinopathy Classification Based on Optimized Un-Supervised Feature Learning Approach Arabian Journal for Science and Engineering Manaswini Jena, Debahuti Mishra, Smita Prava Mishra, Pradeep Kumar Mallick
2023	Research on Assistant Diagnosis of Fundus Optic Neuropathy Based on Deep Learning Current Eye Research Chengjin Wang, Yuwei Zhang, Shuai Xu, Yuyan Liu, Lindan Xie, Changlong Wu, Qianhui Yang, Yanhua Chu, Qing Ye
2023	A Robust Machine Learning Model for Diabetic Retinopathy Classification Journal of Imaging Gigi Tăbăcaru, Simona Moldovanu, Elena Răducan, Marian Barbu
2023	Lecture Notes in Networks and Systems P. Prittopaul, M. Usha, N. Thirumalai, M. Vasanth, R. Raj Kumar, B. Sakthidhasan
2023	Fractional Order Sequential Minimal Optimization Classification Method Fractal and Fractional Chunna Zhao, Licai Dai, Yaqun Huang
2023	Modified residual networks for severity stage classification of diabetic retinopathy Evolving Systems Nitigya Sambyal, Poonam Saini, Rupali Syal, Varun Gupta
2023	Identification of retinal diseases based on retinal blood vessel segmentation using Dagum PDF and feature-based machine learning The Imaging Science Journal K. Susheel Kumar, Nagendra Pratap Singh
2023	HIUNET: A Hybrid Inception U-Net for Diagnosis of Diabetic Retinopathy Intelligent Automation & Soft Computing S. Deva Kumar, S. Venkatramaphanikumar, K. Venkata Krishna Kishore
2023	A Comprehensive Review of Diabetic Retinopathy Detection and Grading Based on Deep Learning and Metaheuristic Optimization Techniques Archives of Computational Methods in Engineering A. Mary Dayana, W. R. Sam Emmanuel
2023	2023 10th International Conference on Signal Processing and Integrated Networks (SPIN) Manish Prajapati, Santos Kumar Baliarsingh, Jhalak Hota
2022	Pixel-Boundary-Dependent Segmentation Method for Early Detection of Diabetic Retinopathy Mathematical Problems in Engineering S. G. Sandhya, A. Suhasini, Yu-Chen Hu
2022	Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm Life Ramya Mohan, Seifedine Kadry, Venkatesan Rajinikanth, Arnab Majumdar, Orawit Thinnukool
2022	Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features Computational Intelligence and Neuroscience Seifedine Kadry, Gautam Srivastava, Venkatesan Rajinikanth, Seungmin Rho, Yongsung Kim
2022	Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images Computers in Biology and Medicine Md Robiul Islam, Lway Faisal Abdulrazak, Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski
2022	Diabetic retinopathy prediction based on deep learning and deformable registration Multimedia Tools and Applications Mohammed Oulhadj, Jamal Riffi, Khodriss Chaimae, Adnane Mohamed Mahraz, Bennis Ahmed, Ali Yahyaouy, Chraibi Fouad, Abdellaoui Meriem, Benatiya Andaloussi Idriss, Hamid Tairi
2022	Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images Computer Methods and Programs in Biomedicine Mesut Toğaçar
2022	Detecting and staging diabetic retinopathy in retinal images using multi-branch CNN Applied Computing and Informatics Worapan Kusakunniran, Sarattha Karnjanapreechakorn, Pitipol Choopong, Thanongchai Siriapisith, Nattaporn Tesavibul, Nopasak Phasukkijwatana, Supalert Prakhunhungsit, Sutasinee Boonsopon
2022	Comparative analysis of deep learning classifiers for diabetic retinopathy identification and detection The Imaging Science Journal P. Rayavel, C. Murukesh
2022	Efficient and robust eye images iris segmentation using a lightweight U-net convolutional network Multimedia Tools and Applications Casian Miron, Alexandru Pasarica, Vasile Manta, Radu Timofte
2022	Single-modality and joint fusion deep learning for diabetic retinopathy diagnosis Scientific African Sara El-Ateif, Ali Idri
2022	Lung X-Ray Image Segmentation Using Heuristic Red Fox Optimization Algorithm Scientific Programming Antoni Jaszcz, Dawid Połap, Robertas Damaševičius
2022	Red lesion in fundus image with hexagonal pattern feature and two-level segmentation Multimedia Tools and Applications D. Latha, T. Beula Bell, C. Jaspin Jeba Sheela
2022	Classification of diabetic retinopathy with feature selection over deep features using nature-inspired wrapper methods Applied Soft Computing Murat Canayaz
2022	A Comprehensive Review on the Diabetic Retinopathy, Glaucoma and Strabismus Detection Techniques Based on Machine Learning and Deep Learning European Journal of Medical and Health Sciences
2022	Deep learning enabled optimized feature selection and classification for grading diabetic retinopathy severity in the fundus image Neural Computing and Applications A. Mary Dayana, W. R. Sam Emmanuel
2022	Classification of Diabetic Retinopathy Severity Based on GCA Attention Mechanism IEEE Access Binhua Yang, Tongyan Li, Haidi Xie, Yulin Liao, Yi-Ping Phoebe Chen
2021	COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion Sensors Muhammad Khan, Majed Alhaisoni, Usman Tariq, Nazar Hussain, Abdul Majid, Robertas Damaševičius, Rytis Maskeliūnas
2021	Lesion-aware attention with neural support vector machine for retinopathy diagnosis Machine Vision and Applications Nagur Shareef Shaik, Teja Krishna Cherukuri
2021	Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition Sensors Sheeba Lal, Saeed Ur Rehman, Jamal Hussain Shah, Talha Meraj, Hafiz Tayyab Rauf, Robertas Damaševičius, Mazin Abed Mohammed, Karrar Hameed Abdulkareem
2021	Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients Sensors Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
2021	Accurate Diagnosis of Diabetic Retinopathy and Glaucoma Using Retinal Fundus Images Based on Hybrid Features and Genetic Algorithm Applied Sciences Nasser Tamim, Mohamed Elshrkawey, Hamed Nassar
2021	Multi-Scale Feature Fusion with Adaptive Weighting for Diabetic Retinopathy Severity Classification Electronics Runze Fan, Yuhong Liu, Rongfen Zhang
2021	Lecture Notes in Computer Science Ivan Štajduhar, Teo Manojlović, Franko Hržić, Mateja Napravnik, Goran Glavaš, Matija Milanič, Sebastian Tschauner, Mihaela Mamula Saračević, Damir Miletić
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