Acne detection, utilizing prior knowledge to diagnose acne severity, number or position
through facial images, plays a very important role in medical diagnoses and treatment for …

In this paper, a baseline for automated acne detection with deep neural networks is
presented. The goal is to overcome the poor performance of traditional acne detection …

BACKGROUND: Acne is a skin lesion type widely existing in adolescents, and poses
computational challenges for automatic diagnosis. Computer vision algorithms are utilized to …

BACKGROUND: Acne vulgaris is one of the most prevalent skin conditions, which harms not
only the patients' physiological conditions, but also their mental health. Early diagnosis and …

Accurate detection of acne plays a crucial role in acquiring precise diagnosis and
conducting proper therapy. However, the ambiguous boundaries and arbitrary dimensions …

Skin image analysis using artificial intelligence (AI) has recently attracted significant
research interest, particularly for analyzing skin images captured by mobile devices. Acne is …

Accurate detection and severity quantification of acne are of great significance in the precise
treatment of patients. Due to the similar appearance of acne with close severity, it is …

Automated detection of skin lesions offers excellent potential for interpretative diagnosis and
precise treatment of acne vulgar. However, the blurry boundary and small size of lesions …

Computer-aided diagnosis has recently received attention for its advantage of low cost and
time efficiency. Although deep learning played a major role in the recent success of acne …

Acne and Rosacea are two common skin diseases that affect many people worldwide.
These two skin conditions can result in similar signs, which leads to the misdiagnosis of the …