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Gareau DS, Browning J, Correa Da Rosa J, Suarez-Farinas M, Lish S, Zong AM, Firester B, Vrattos C, Renert-Yuval Y, Gamboa M, Vallone MG, Barragán-Estudillo ZF, Tamez-Peña AL, Montoya J, Jesús-Silva MA, Carrera C, Malvehy J, Puig S, Marghoob A, Carucci JA, Krueger JG. Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues. J Biomed Opt 2020; 25:JBO-200155SSRR. [PMID: 33247560 PMCID: PMC7702097 DOI: 10.1117/1.jbo.25.11.112906] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 10/28/2020] [Indexed: 06/12/2023]
Abstract
SIGNIFICANCE Melanoma is a deadly cancer that physicians struggle to diagnose early because they lack the knowledge to differentiate benign from malignant lesions. Deep machine learning approaches to image analysis offer promise but lack the transparency to be widely adopted as stand-alone diagnostics. AIM We aimed to create a transparent machine learning technology (i.e., not deep learning) to discriminate melanomas from nevi in dermoscopy images and an interface for sensory cue integration. APPROACH Imaging biomarker cues (IBCs) fed ensemble machine learning classifier (Eclass) training while raw images fed deep learning classifier training. We compared the areas under the diagnostic receiver operator curves. RESULTS Our interpretable machine learning algorithm outperformed the leading deep-learning approach 75% of the time. The user interface displayed only the diagnostic imaging biomarkers as IBCs. CONCLUSIONS From a translational perspective, Eclass is better than convolutional machine learning diagnosis in that physicians can embrace it faster than black box outputs. Imaging biomarkers cues may be used during sensory cue integration in clinical screening. Our method may be applied to other image-based diagnostic analyses, including pathology and radiology.
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Affiliation(s)
- Daniel S. Gareau
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
| | - James Browning
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
| | - Joel Correa Da Rosa
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
| | - Mayte Suarez-Farinas
- Icahn School of Medicine at Mount Sinai Medical Center, Department of Dermatology, New York, New York, United States
| | - Samantha Lish
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
| | - Amanda M. Zong
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
| | - Benjamin Firester
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
| | - Charles Vrattos
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
| | - Yael Renert-Yuval
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
| | - Mauricio Gamboa
- Hospital Clínic de Barcelona, Universitat de Barcelona, Department of Dermatology, Barcelona, Spain
| | - María G. Vallone
- Hospital Alemán, Department of Dermatology, Buenos Aires, Argentina
| | - Zamira F. Barragán-Estudillo
- Universidad Nacional Autónoma de México, Dermato-Oncology Clinic, Research Division, Faculty of Medicine, Mexico City, Mexico
| | - Alejandra L. Tamez-Peña
- Hospital Clínic de Barcelona, Universitat de Barcelona, Department of Dermatology, Barcelona, Spain
| | - Javier Montoya
- Universidad San Sebastian, School of Medicine, Concepción, Chile
| | - Miriam A. Jesús-Silva
- Hospital Clínic de Barcelona, Universitat de Barcelona, Department of Dermatology, Barcelona, Spain
| | - Cristina Carrera
- Hospital Clínic de Barcelona, Universitat de Barcelona, Department of Dermatology, Barcelona, Spain
- Institut d’Investigacions Biomediques August Pi I Sunyer, Barcelona, Spain
- Instituto de Salud Carlos III, CIBER on Rare Disease, Barcelona, Spain
| | - Josep Malvehy
- Hospital Clínic de Barcelona, Universitat de Barcelona, Department of Dermatology, Barcelona, Spain
- Institut d’Investigacions Biomediques August Pi I Sunyer, Barcelona, Spain
- Instituto de Salud Carlos III, CIBER on Rare Disease, Barcelona, Spain
| | - Susana Puig
- Hospital Clínic de Barcelona, Universitat de Barcelona, Department of Dermatology, Barcelona, Spain
- Institut d’Investigacions Biomediques August Pi I Sunyer, Barcelona, Spain
- Instituto de Salud Carlos III, CIBER on Rare Disease, Barcelona, Spain
| | - Ashfaq Marghoob
- Memorial Sloan Kettering Cancer Center, Dermatology Service, New York, New York, United States
| | - John A. Carucci
- New York University, Ronald O. Pearlman Department of Dermatology, New York, New York, United States
| | - James G. Krueger
- The Rockefeller University, Laboratory of Investigative Dermatology, New York, New York, United States
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