AIMC Topic: Hair Removal
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Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection.
Scientific reports
Jul 1, 2025
Accurate identification of Mpox is essential for timely diagnosis and treatment. However, traditional image-based diagnostic methods often struggle with challenges such as body hair obscuring skin lesions and complicating accurate assessment. To addr...
Advancing dermoscopy through a synthetic hair benchmark dataset and deep learning-based hair removal.
Journal of biomedical optics
Nov 19, 2024
SIGNIFICANCE: Early detection of melanoma is crucial for improving patient outcomes, and dermoscopy is a critical tool for this purpose. However, hair presence in dermoscopic images can obscure important features, complicating the diagnostic process....
Physician Level Assessment of Hirsute Women and of Their Eligibility for Laser Treatment With Deep Learning.
Lasers in surgery and medicine
Sep 22, 2024
OBJECTIVES: Hirsutism is a widespread condition affecting 5%-15% of females. Laser treatment of hirsutism has the best long-term effect. Patients with nonpigmented or nonterminal hairs are not eligible for laser treatment, and the current patient jou...
Improvement in Laser-Irradiation Efficiency of Robot-Assisted Laser Hair Removal Through Pose Measurement of Skin Surface.
Photomedicine and laser surgery
Nov 23, 2015
OBJECTIVE: This study aims to improve the performance of an automatic laser hair removal (LHR) system by applying an algorithm that considers the curve and slant of the skin surface.
Comparison of Efficacy Between Novel Robot-Assisted Laser Hair Removal and Physician-Directed Hair Removal.
Photomedicine and laser surgery
Sep 8, 2015
OBJECTIVE: This study aimed to evaluate the number of laser irradiation sessions, process duration, and hair removal rate required for robot-assisted automatic versus physician-directed laser hair removal.
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