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research Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm

6 citations , 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.

research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images

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.

research Hair cluster detection model based on dermoscopic images

February 2024 in “Frontiers in physics”

The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.

research Dermoscopic image of the hairs in a very early lesion of tinea capitis caused by Trichophyton rubrum

March 2024 in “Clinical Case Reports”

Early detection of tinea capitis is possible by spotting specific hair patterns like comma or corkscrew hairs.

research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images

August 2024

Deep learning can improve non-invasive alopecia diagnosis using hair images.

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community If You Have DUPA, PLEASE READ THIS: Everyone Should Be Scalp Biopsied

in Research 830 upvotes 1 year ago

Scalp biopsies are crucial for diagnosing hair loss conditions like Diffuse Unpatterned Alopecia (DUPA) and retrograde hair loss, as treatments like finasteride and dutasteride may not be effective if other conditions are present. Combining PPAR-GAMMA agonists with retinoids could improve treatments for conditions like Lichen Planopilaris.

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