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The main aim of our project is to predict disease using nail color analysis, focusing on early diagnosis without harming patients. Traditional methods are less accurate and time-consuming. Our computer-based system processes nail images to extract features for diagnosis, particularly nail color changes. Training data from patients with specific diseases are used for matching. The system automates nail area extraction and uses media filters for analysis. It detects color changes in the early stages of disease. This research combines deep learning and image processing to identify nail diseases and recommend treatments.

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Patient-Centric Fingernail Disease Detection and Treatment Recommendations Through Image Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • D. Sattibabu,
  • V. Eswarirani,
  • A. Divya Naga Jyothi,
  • P. Chandu,
  • N. Chandra Sekhar Reddy

摘要

The main aim of our project is to predict disease using nail color analysis, focusing on early diagnosis without harming patients. Traditional methods are less accurate and time-consuming. Our computer-based system processes nail images to extract features for diagnosis, particularly nail color changes. Training data from patients with specific diseases are used for matching. The system automates nail area extraction and uses media filters for analysis. It detects color changes in the early stages of disease. This research combines deep learning and image processing to identify nail diseases and recommend treatments.