Related Experiment Video

Updated: Jul 6, 2025

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

2.3K

Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning

Achim Hekler1, Roman C Maron1, Sarah Haggenmüller1

  • 1Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Journal of the American Academy of Dermatology
|January 10, 2024
PubMed
Abstract

No abstract available in PubMed .

Keywords:
artificial intelligencedeep learningdermatologydermoscopydiagnosisdiagnostic accuracymelanomarobustnessuncertainty estimation

More Related Videos

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma09:52

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma

Published on: June 6, 2025

204
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

Related Concept Videos

Skin Cancer01:30

Skin Cancer

Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
4.1K