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Finding correlation between diabetic retinopathy and diabetes during pregnancy based on computer-aided diagnosis: a review

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Abstract

Diabetic retinopathy (DR) is a condition that damages the retina in people with diabetes and can lead to vision loss. It can be detected by observing the morphological changes in the fundus image. DR manifests in several types, including, mild non-proliferative DR (MilNPDR), moderate non-proliferative DR (ModNPDR), severe non-proliferative DR (SevNPDR), proliferative DR (PDR), and Severe proliferative DR (SPDR). Diagnosing DR manually is a time-consuming process and requires significant human resources. Computational-based diagnostic framework, on the other hand, may facilitate early detection and timely treatments. Diabetes during pregnancy can lead to a future development of DR in the mother as well as the fetus. The effect of pregnancy on DR is a significant health concern, however, it is unexplored due to the limited number of screening and treatment options. This manuscript aims to give a comprehensive review of DR and its correlation with diabetes during pregnancy. Moreover, it presents the available resources of fundus data sets for DR research and depicts the advanced methodologies for computational aided DR detection. It also highlights the research gaps in DR detection and its classification and therefore opens the possibility of future research on DR during pregnancy.

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  1. Electronics and Communication Engineering Department, Thapar Institute of Engineering and Technology, Patiala, 147004, Punjab, India

    Debabrata Ghosh

  2. Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, 147004, Punjab, India

    Kuntal Chowdhury & Samya Muhuri

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Ghosh, D., Chowdhury, K. & Muhuri, S. Finding correlation between diabetic retinopathy and diabetes during pregnancy based on computer-aided diagnosis: a review. Multimed Tools Appl 83, 27037–27065 (2024). https://doi.org/10.1007/s11042-023-16449-9

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