50 citations
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December 2011 in “Skin Research and Technology” The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
February 2026 in “International journal of intelligent engineering and systems” The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
6 citations
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July 2022 in “Biomedical Signal Processing and Control” The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.