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research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review

5 citations , January 2025 in “BMC Medical Informatics and Decision Making”

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

research 1040 Photographing alopecia - How many pixels are needed for clinical evaluation?

April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology”

This study found that low image resolutions allow expert clinicians to detect alopecia, but higher resolutions are necessary for identifying scarring and vellus hair, which may inform future image processing algorithms in dermatology.

research Using morphological operators and inpainting for hair removal in dermoscopic images

11 citations , June 2017

This study presents a new approach to automatically remove hair artifacts from dermoscopic images, which reportedly performed well compared to existing methods like DullRazor using the PH2 datasets.

research Automated quantitative analysis of coat and skin coloration in laboratory animals

2 citations , July 2025 in “Drug development & registration”

This study developed and tested a new algorithm for analyzing coat and skin coloration in laboratory animals, using digital images and hierarchical color clustering, which effectively quantified color proportions and tracked changes over time without specialized software.

Research on Hair Removal Algorithm of Dermatoscopic Images Using Maximum Variance Fuzzy Clustering and Optimized Criminisi Algorithm

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”

This study presents a new hair removal algorithm for dermatoscopic images of skin lesions that improves hair detection accuracy by 2–7% and hair repair accuracy by 2–5% on average, using advanced techniques like maximum variance fuzzy clustering, Criminisi priorities, and the ant colony algorithm.

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community M 25, 3.5 months apart images, fin works,

in Progress Pictures 278 upvotes 1 year ago

A 25-year-old male experienced hair regrowth after switching from topical minoxidil to a combination of topical minoxidil and oral finasteride, along with microneedling and multivitamins. He reported no significant side effects from finasteride, except mild discomfort, and emphasized the effectiveness of oral finasteride over topical solutions.

community Evaluate your progress with an objective tool

in Progress Pictures 40 upvotes 2 years ago

The post discusses using ImageJ software to objectively track hair regrowth progress. The user is treating Androgen alopecia with dutasteride and minoxidil.

community Life with hair is so different. Save your hair!

in Update 625 upvotes 1 year ago

Hair restoration treatments like finasteride, minoxidil, dutasteride, and hair transplants can greatly enhance self-image and dating life. Opinions differ on whether to embrace baldness or pursue treatments for maintaining hair.

community BlueMagic Group Hair Transplant Reviews – Anyone Had Real Results?

in Transplants 153 upvotes 1 year ago

The conversation is about a user considering a hair transplant with BlueMagic Group and seeking real experiences and advice. Users suggest verifying who performs the surgery, looking for long-term results, and ensuring thorough communication before proceeding.

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