International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Enhance Varicose Vein Detection with Deep Neural Network

Author(s) Nauman R. Saiyed, Prof. Vallabh G. Patel
Country India
Abstract Varicose veins, a prevalent vascular disorder, manifest as enlarged, twisted veins, mostly in
the legs, and are painful and seriously complicated by ulcers and deep vein thrombosis if left
untreated. Conventional diagnostics, including physical exams, Doppler ultrasound, and
venography, are invasive, time-consuming, and highly dependent on expert interpretation,
tending to delay early diagnosis. This research leverages deep learning to improve varicose
vein diagnosis with the goal of improving accuracy and reducing dependence on manual
processes for timely interventions. We trained two deep-learning models on a robust dataset
of pre-processed images of varicose veins. The first, a specialized Convolutional Neural
Network (CNN), employs several layers to capture spatial hierarchies to achieve a 93%
accuracy rate in classifying the stages of varicose veins on the test set. The second, a transfer
learning model from ResNet50 with special layers, achieved only 63% accuracy, which
suggests relatively lower suitability for this task. Normalization and resizing of data ensured
equal processing for all models. Performance was exhaustively evaluated with precision,
recall, and F1-score measures, showing the superiority of the custom CNN in specific
medical imaging. These findings underscore the effectiveness of customized CNNs
compared to general-purpose pretrained models in specialized diagnostic use, holding
promise to transform varicose vein care delivery. Implementation of such AI-powered tools
in clinical practice has the potential to streamline diagnosis and enhance patient outcomes.
Keywords Varicose Vein Detection, Medical Image Analysis, Clinical Decision Support, Vascular Disease Classification
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-05-17
DOI https://doi.org/10.71097/IJSAT.v16.i2.5244
Short DOI https://doi.org/g9kf6c

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