Background: Epiluminescence microscopy (ELM) provides for increased accuracy in the clinical diagnosis of pigmented skin lesions (PSL). It is based on pattern analysis of ELM criteria, which requires experience. The recently introduced application of the ABCD score to ELM facilitates this by permitting lesion evaluation on the basis of predefined clinical criteria.
Objective: The present study was performed to evaluate the diagnostic performance of the ABCD rule for ELM in pigmented skin lesions testing dermatologists with varying skills from novice to expert.
Methods: Two hundred fifty electronic images of randomly selected, histologically proven PSL including 41 early melanomas (16.4%) were presented to the raters, and each image was scored according to the rules of the ABCD score and rated without the guidance of a scoring system on a scale from 1 = definitely benign to 5 = definitely melanoma.
Results: Our data show that the application of the ABCD rule significantly enhances diagnostic ability in less experienced dermatologists compared with rating without the guidance of a scoring system. In contrast, the diagnostic accuracy of dermatologists who are moderately to greatly experienced is not improved by use of the ABCD rule.
Conclusion: Our experiments indicate that the application of the ABCD rule to ELM introduced by Stolz et al represents a useful enhancement for diagnosis of pigmented skin lesions in less experienced users. However, the method does fail to detect melanomas with 100% accuracy. Therefore further effort has to be made to make the diagnosis of melanoma easier and more accurate.
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http://dx.doi.org/10.1016/s0190-9622(99)70184-2 | DOI Listing |
J Environ Manage
December 2024
Civil Engineering Department, Engineering Faculty, Firat University, 23119, Elazig, Turkey; SEBIZA Technology Limited Company, Firat Technopark, 23350, Elazig, Turkey.
This study focuses on modelling sustainable concretes' mechanical and environmental properties with interpretable artificial intelligence-based automated rule extraction, management of waste materials, and meeting future prospects. In this context, 24 sustainable concrete series containing fly ash and recycled aggregates were produced. Compressive strength tests were performed on these specimens at 7, 28, and 90 days, and their mechanical properties were evaluated.
View Article and Find Full Text PDFSci Rep
November 2024
FMPR, Mohammed V University in Rabat, Rabat, Morocco.
This research introduces a Computer-Aided Diagnosis-system designed aimed at automated detections & classification of tomato leaf diseases, combining traditional handcrafted features with advanced deep learning techniques. The system's process encompasses preprocessing, feature extraction, feature fusion, and classification. It utilizes enhancement filters and segmentation algorithms to isolate with Regions-of-Interests (ROI) in images tomato leaves.
View Article and Find Full Text PDFJ Clin Aesthet Dermatol
January 2024
Dr. Harrison is with Forefront Dermatology in Englewood, Colorado, and is a Diplomat Fellow of the SDPA; she was with the Doctor of Medical Science Program, AT Still University in Mesa, Arizona at the time of writing.
Commun Psychol
February 2024
Department of Child and Adolescent Psychology and Psychiatry, Erasmus MC University Medical Center Rotterdam-Sophia Children's Hospital, Rotterdam, The Netherlands.
Multivariate machine learning techniques are a promising set of tools for identifying complex brain-behavior associations. However, failure to replicate results from these methods across samples has hampered their clinical relevance. Here we aimed to delineate dimensions of brain functional connectivity that are associated with child psychiatric symptoms in two large and independent cohorts: the Adolescent Brain Cognitive Development (ABCD) Study and the Generation R Study (total n = 6935).
View Article and Find Full Text PDFMedicine (Baltimore)
August 2024
Clinical Pharmacy Department, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Researchers in Saudi Arabia conducted this study to determine the level of familiarity that pharmacists and physicians possess with the pregnancy and lactation labeling rules established by the Food and Drug Administration. The present study included a cross-sectional survey conducted among pharmacists and physicians working in Saudi Arabia. The sample size was determined using the Rao sample size calculator.
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