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Mohit Sharma is an Assistant Professor in the Department of Computer Science and Engineering at MITRC Engineering College, Alwar, Rajasthan, India. His academic responsibilities include teaching and research in computer science and engineering. His professional role contributes to engineering education and computing-related scholarship. His chapter contribution concerns deep learning approaches to retinal image analysis.
Retinal disorders rank among the primary contributors to vision loss and blindness globally. Disorders such diabetic retinopathy, glaucoma, age-related macular degeneration, hypertensive retinopathy, and retinal vascular irregularities can result in gradual vision deterioration if not recognised and treated well. This chapter offers an extensive examination of retinal image analysis utilising deep learning, encompassing image capture, preprocessing, public datasets, feature extraction, illness categorisation, lesion detection, explainable artificial intelligence, and clinical decision support. The section additionally addresses assessment metrics, dataset disparity, picture fidelity, model generalisability, patient confidentiality, and clinical verification. The suggested framework establishes a basis for creating dependable and comprehensible retinal screening technologies that can assist ophthalmologists and enhance access to first eye disease evaluations. Clinical implementation necessitates autonomous verification and suitable expert supervision.