50 citations
,
December 2011 in “Skin Research and Technology” In this study, the researchers reported that their novel algorithm for hair restoration in dermoscopy images achieved high accuracy and texture preservation, outperforming other techniques in diagnostic accuracy and texture quality measures.
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.
February 2026 in “International journal of intelligent engineering and systems” This study proposes a new method for hair segmentation that improved performance in skin lesion images, as indicated by an increase in the Dice score from 76.97% to 79.08%.
February 2024 in “Frontiers in physics” This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.
March 2024 in “Clinical Case Reports” In this study, the authors emphasize the importance of not ignoring the partial presence of comma or harpin hairs and black spots when identifying early lesions of tinea capitis, which may initially be overlooked due to their small size.
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.
2 citations
,
November 2018 in “Modern Applied Science” This study proposed a method to automatically detect and replace hair in dermoscopy images, demonstrating high sensitivity and specificity in melanoma diagnostics.
January 2010 in “Computerized Tomography Theory and Applications” In this study, dermoscopy image analysis was used to evaluate the effectiveness of hair nurturing products, with both the experimental and control groups showing significant results over 12 weeks.
This study developed a convolutional neural network model for non-invasive diagnosis of androgenetic alopecia using dermoscopic images, demonstrating potential accuracy and scalability while highlighting the importance of model interpretability for clinical use.
December 2025 in “Clinical Case Reports” In this study, researchers reported that dermoscopic examination of eyebrow hairs can help in the early diagnosis of Netherton syndrome in children by detecting trichorrhexis invaginata, facilitating prompt counseling and care while awaiting genetic test results.
Mirror-image twins can have alopecia areata on opposite sides of their heads.
August 2024 in “Skin Research and Technology” This report describes the diagnosis and treatment of traumatic anserine folliculosis in children, highlighting its distinct skin features and suggesting tretinoin cream as an effective remedy.
61 citations
,
June 2022 in “IEEE Journal of Biomedical and Health Informatics” This study introduced a novel deep clustering approach for melanoma detection from dermoscopic images, demonstrating improved performance over existing methods by mitigating class imbalance issues using a center-oriented margin-free triplet loss.
20 citations
,
August 2019 in “Journal of Telemedicine and Telecare” This study found that dermatologists in São Paulo reported increased confidence in teledermatology over one year, citing its utility for triage and diagnosis, particularly for superficial infections and pigmentary disorders.
1 citations
,
January 2023 in “IEEE access” This review examines advancements in deep learning methods for detecting dermatological conditions from dermoscopic images, summarizing available datasets and suggesting future research directions, but reports no new results.
This study found that platelet-rich plasma injections significantly increased hair count and improved hair loss in patients with androgenic alopecia, with high patient satisfaction and no notable adverse effects.
August 2016 in “Journal of Investigative Dermatology” This quiz based on a Journal of Investigative Dermatology article reports no new clinical results but serves as an educational tool for diagnosing scalp conditions, including scalp psoriasis and psoriatic alopecia.
September 2023 in “Skin Research and Technology” This article presents a new method using dermoscopy to evaluate the severity and treatment effectiveness of androgenetic alopecia in men by capturing images of specific scalp regions.
7 citations
,
January 2020 in “Dermatology online journal” In this case report, adult-onset porokeratotic eccrine ostial and dermal duct nevus improved with topical tazarotene treatment, as evidenced by dermatoscopic images.
1 citations
,
January 2013 in “International Journal of Trichology” A girl with red hair developed hair-pulling and body image disorders after being bullied for her hair color.
129 citations
,
January 2009 in “International Journal of Trichology” This study found that trichoscopy criteria can distinguish female androgenic alopecia from chronic telogen effluvium, with specific features achieving 98% diagnostic specificity.
19 citations
,
October 2014 in “Veterinary Dermatology” Dermoscopy is a good, noninvasive way to see normal cat skin structures and could be useful for check-ups.
64 citations
,
June 2014 in “Journal of The American Academy of Dermatology” This study found that a peripilar white gray halo around hair emergence is a highly specific and sensitive dermatoscopic feature for diagnosing central centrifugal cicatricial alopecia in African American patients with mild central thinning.
September 2023 in “Zenodo (CERN European Organization for Nuclear Research)” In this study, researchers examined trichoscopic features in 80 patients with androgenetic alopecia and found that hairshaft thickness heterogeneity was the most common feature, highlighting trichoscopy as a useful, non-invasive diagnostic tool for assessing this condition.
3 citations
,
June 2021 in “Clinical, Cosmetic and Investigational Dermatology” This study highlights the importance of dermoscopic examinations in accurately diagnosing skin cancer, which can be mistaken for benign seborrheic keratosis, emphasizing the need for trained interpretation to avoid missing malignant lesions.
January 2023 in “Bio web of conferences/BIO web of conferences” This study identified specific dermoscopic features for differentiating rosacea, seborrheic dermatitis, contact dermatitis, and atopic dermatitis, suggesting dermoscope's value in diagnosing facial erythema with atypical presentations.
June 2018 in “Chinese Journal of Dermatology” This study reported that connective tissue nevi show distinctive dermoscopic and RCM features, with RCM being particularly helpful for diagnosing lesions of less than one year in duration.
October 2022 in “Hair Transplantation” This article discusses the role of dermoscopy in identifying various hair loss conditions and recommends its use for improved diagnostic accuracy, particularly for distinguishing scarring from nonscarring alopecia and other similar conditions.
October 2023 in “Asian journal of pharmaceutical and clinical research” In this study, researchers used trichoscopy to establish standardized findings for normal hair and scalp characteristics in 360 healthy males, noting significant age-related differences in hair diameter variability and identifying potential pathological indicators like colored dots and scarring not present in healthy individuals.
21 citations
,
September 2015 in “Journal of the European Academy of Dermatology and Venereology” This review examines the diagnostic significance of yellow and orange colors in skin lesions and concludes that their role is often underrepresented in the literature.