Related Experiment Video

Updated: Jun 9, 2026

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

Deep learning analysis of reflectance confocal microscopy for basal cell carcinoma diagnosis

Ross O'Hagan1, Alessandra Acciardi2, Marianne Tissot Rodríguez1

  • 1The Kimberly and Eric J. Waldman Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, New York.

JAAD International
|June 8, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
artificial intelligencebasal cell carcinomadeep learningreflectance confocal microscopy

More Related Videos

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

Related Experiment Videos

Last Updated: Jun 9, 2026

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

Related Concept Videos

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

Articles linked to this work by shared authors, journal, and citation graph.

Small lesion, big challenge? Diagnosis of small diameter melanocytic lesions by dermatologists using AI support.

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG·2026

Dupilumab for the treatment of pemphigoid gestationis in the setting of breastfeeding: a case report and review of the literature.

Skin health and disease·2026

Sun-protective behaviours in US adults with a history of skin cancer: a cross-sectional National Health Interview Survey study.

Skin health and disease·2026

Utilizing relative survival to investigate melanoma subtypes across intersectional demographics: a Surveillance, Epidemiology, and End Results (SEER) cohort study.

Skin health and disease·2026

Atopic disease prevalence by nativity, citizenship, and years of residence in the United States.

Dermatology (Basel, Switzerland)·2026

Clinical and dermoscopic triage of head and neck macules: The role of reflectance confocal microscopy in a prospective study of 2006 lesions.

Journal of the American Academy of Dermatology·2026

Detection of basal cell carcinoma on whole-slide images from Mohs micrographic surgery using weakly supervised learning.

JAAD international·2026

Risk factors for the development of acral melanoma: A multi-institutional, retrospective cohort study.

JAAD international·2026

Healthcare resource utilization and costs in pediatric patients under 6 years old with atopic dermatitis in the United States: A retrospective, observational, cross-sectional study.

JAAD international·2026

A multi-layer active intellectual property protection framework for hyperspectral image classification models.

iScience·2026

TriFuse: A multi-signal three-stage data distillation framework for efficient medical model training.

Journal of biomedical informatics·2026

Enhancing semi-supervised skin lesion segmentation with text-guided pseudo descriptions.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

The Ready Reckoner Model: Strengthening Healthcare Workers' Capacity for Tuberculosis Care Through a User-Centric Digital Clinical Suite in India.

Cureus·2026

Clinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?

CJC pediatric and congenital heart disease·2026

Revealing the Latent Structure of Health Literacy in Online Peer-to-Peer Communication with Uncertainty-aware Bayesian Deep Learning.

Journal of healthcare informatics research·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies
Jove
Visualize
Contact Us