Using deep learning for dermatologist-level detection of suspicious pigmented skin lesions from wide-field images

Author:

Soenksen Luis R.12345ORCID,Kassis Timothy6,Conover Susan T.2ORCID,Marti-Fuster Berta25,Birkenfeld Judith S.25ORCID,Tucker-Schwartz Jason25ORCID,Naseem Asif25,Stavert Robert R.789ORCID,Kim Caroline C.1011,Senna Maryanne M.912ORCID,Avilés-Izquierdo José13ORCID,Collins James J.234614ORCID,Barzilay Regina1516ORCID,Gray Martha L.24516ORCID

Affiliation:

1. Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.

2. Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.

3. Wyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Cir, Boston, MA 02115, USA.

4. Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02139, USA.

5. MIT linQ, Massachusetts Institute of Technology Cambridge, MA 02148, USA.

6. Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, 02139, MA, USA.

7. Division of Dermatology, Cambridge Health Alliance, 1493 Cambridge Street, Cambridge, MA 02139, USA.

8. Department of Dermatology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215, USA.

9. Department of Dermatology, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA.

10. Pigmented Lesion Program, Newton Wellesley Dermatology Associates, 65 Walnut Street Suite 520 Wellesley Hills, MA 02481, USA.

11. Department of Dermatology, Tufts Medical Center, 260 Tremont Street Biewend Building, Boston, MA 02116, USA.

12. Department of Dermatology, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114

13. Department of Dermatology, Hospital General Universitario Gregorio Marañón, Calle del Dr. Esquerdo 46, 28007 Madrid, Spain.

14. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

15. Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.

16. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Cambridge, MA 02148, USA.

Abstract

Deep neural networks facilitate detection of suspicious pigmented lesions in wide-field images and could allow for efficient primary care screening.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference63 articles.

1. American Cancer Society Cancer Facts & Figures 2019 (American Cancer Society 2019).

2. Cancer statistics, 2019

3. American Cancer Society Cancer Prevention & Early Detection Facts and Figures 2019–2020 (American Cancer Society 2019).

4. Prevalence and Costs of Skin Cancer Treatment in the U.S., 2002−2006 and 2007−2011

5. Health care resource utilization and costs in first-line treatments for patients with metastatic melanoma in the United States;Klink A. J.;J. Manag. Care Spec. Pharm.,2019

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