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

A user is developing an app called Follicle to track hairline changes using facial landmarks and inter-pupillary distance for standardization. The app aims to provide a more consistent way for consumers to monitor hairline changes over time.

A user developed AI software to simulate hair transplants on photos, helping people visualize potential results. The tool offers photo-realistic renderings but advises caution regarding exact outcomes due to various factors.

High frequency ultrasonography and HR-MRI can help identify hair shedding causes like inflammation and fibrosis. The conversation discusses the potential of using these technologies to evaluate treatments like Verteporfin for hair regeneration.

The conversation discusses hair regrowth progress using Minoxidil, finasteride, and RU58841. It highlights the transformation of vellus hairs into terminal hairs in a Norwood 6 frontal area.

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

Ultrasound imaging can predict hair shedding and assess hair growth stages by analyzing hair follicle characteristics. The conversation also discusses using ultrasound for personal hair analysis and mentions the potential use of infrared emission for hair treatment.