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JAMA Dermatology
|
November 29, 2018
Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks
Philipp Tschandl, Cliff Rosendahl, Bengu Nisa Akay, et al.
International Journal of Dermatology
|
December 13, 2025
Dermoscopy in Merkel Cell Carcinoma-A Multicenter Retrospective Study of the International Dermoscopy Society
Katarzyna Korecka, Iulia Maria Badiu, Philipp Tschandl, et al.
Journal of Biomedical Optics
|
November 28, 2020
Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues
Daniel S Gareau, James Browning, Joel Correa Da Rosa, et al.
The Lancet. Oncology
|
June 16, 2019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
Philipp Tschandl, Noel Codella, Bengü Nisa Akay, et al.
The Journal of Pediatrics
|
May 20, 2019
Risk Factors and Outcomes of Nonmelanoma Skin Cancer in Children and Young Adults
Jennifer T Huang, Carrie C Coughlin, Elena B Hawryluk, et al.
Archives of Dermatology
|
September 17, 2008
Dermoscopic evaluation of amelanotic and hypomelanotic melanoma
Scott W Menzies, Juergen Kreusch, Karen Byth, et al.
Cancers
|
November 9, 2024
Clinical Utility of a Digital Dermoscopy Image-Based Artificial Intelligence Device in the Diagnosis and Management of Skin Cancer by Dermatologists
Alexander M Witkowski, Joshua Burshtein, Michael Christopher, et al.
Dermatology Practical & Conceptual
|
December 19, 2022
Indications for Digital Monitoring of Patients With Multiple Nevi: Recommendations from the International Dermoscopy Society
Teresa Russo, Vincenzo Piccolo, Elvira Moscarella, et al.
Nature Communications
|
September 9, 2022
In vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response
Aditi Sahu, Kivanc Kose, Lukas Kraehenbuehl, et al.
Nature Communications
|
December 8, 2025
Predictive models of melanoma metastasis based on dermatoscopy in an international retrospective human reader study
Konstantinos Lallas, Harald Kittler, Philipp Tschandl, et al.
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of 5
Search research articles
Search
Showing results (31-40 of 41) with videos related to
Sort By:
Page
of 5
JAMA Dermatology
|
November 29, 2018
Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks
Philipp Tschandl, Cliff Rosendahl, Bengu Nisa Akay, et al.
International Journal of Dermatology
|
December 13, 2025
Dermoscopy in Merkel Cell Carcinoma-A Multicenter Retrospective Study of the International Dermoscopy Society
Katarzyna Korecka, Iulia Maria Badiu, Philipp Tschandl, et al.
Journal of Biomedical Optics
|
November 28, 2020
Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues
Daniel S Gareau, James Browning, Joel Correa Da Rosa, et al.
The Lancet. Oncology
|
June 16, 2019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
Philipp Tschandl, Noel Codella, Bengü Nisa Akay, et al.
The Journal of Pediatrics
|
May 20, 2019
Risk Factors and Outcomes of Nonmelanoma Skin Cancer in Children and Young Adults
Jennifer T Huang, Carrie C Coughlin, Elena B Hawryluk, et al.
Archives of Dermatology
|
September 17, 2008
Dermoscopic evaluation of amelanotic and hypomelanotic melanoma
Scott W Menzies, Juergen Kreusch, Karen Byth, et al.
Cancers
|
November 9, 2024
Clinical Utility of a Digital Dermoscopy Image-Based Artificial Intelligence Device in the Diagnosis and Management of Skin Cancer by Dermatologists
Alexander M Witkowski, Joshua Burshtein, Michael Christopher, et al.
Dermatology Practical & Conceptual
|
December 19, 2022
Indications for Digital Monitoring of Patients With Multiple Nevi: Recommendations from the International Dermoscopy Society
Teresa Russo, Vincenzo Piccolo, Elvira Moscarella, et al.
Nature Communications
|
September 9, 2022
In vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response
Aditi Sahu, Kivanc Kose, Lukas Kraehenbuehl, et al.
Nature Communications
|
December 8, 2025
Predictive models of melanoma metastasis based on dermatoscopy in an international retrospective human reader study
Konstantinos Lallas, Harald Kittler, Philipp Tschandl, et al.
Page
of 5