Dermatologist-level classification of skin cancer with deep neural networks
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2017/01/25
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Journal
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Indian UGC (journal)
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Refrences30
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Citations5,710
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Andre Esteva
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Brett Kuprel
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Roberto A. Novoa
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Justin Ko
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Susan M. Swetter
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Helen M. Blau
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Sebastian Thrun
Article Updates
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DOITypeTime
Cite
Esteva, Andre, et al. “Dermatologist-Level Classification of Skin Cancer With Deep Neural Networks”. Nature, vol. 542, no. 7639, 2017, pp. 115-8, https://doi.org/10.1038/nature21056.
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118. https://doi.org/10.1038/nature21056
Esteva, Andre, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen M. Blau, and Sebastian Thrun. “Dermatologist-Level Classification of Skin Cancer With Deep Neural Networks”. Nature 542, no. 7639 (2017): 115-18. https://doi.org/10.1038/nature21056.
Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115-8.
Journal Category
Science
Science (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Mastering the game of Go with deep neural networks and tree search | Nature |
| 5,690 | 2016 |
| Deep learning | Nature |
| 36,146 | 2015 |
| Human-level control through deep reinforcement learning | Nature |
| 9,187 | 2015 |
| Incidence Estimate of Nonmelanoma Skin Cancer (Keratinocyte Carcinomas) in the US Population, 2012 | JAMA Dermatology |
| 1,041 | 2015 |
| ImageNet Large Scale Visual Recognition Challenge | International Journal of Computer Vision |
| 12,571 | 2015 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics | JAMA Dermatology |
| 2 | 2024 |
Analyzing Surgical Technique in Diverse Open Surgical Videos With Multitask Machine Learning | JAMA Surgery |
| 2 | 2024 |
Self‐Heating Multistage Microneedle Patch for Topical Therapy of Skin Cancer | Advanced Materials |
| 2024 | |
Evaluating surgical expertise with AI‐based automated instrument recognition for robotic distal gastrectomy | Annals of Gastroenterological Surgery |
| 2024 | |
AI‐organoid integrated systems for biomedical studies and applications | Bioengineering & Translational Medicine |
| 2024 |
Citations Analysis
The category
Medicine: Medicine (General) 2,080
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Drawing a Non-Consequentialist Line: Augmenting v. Replacing the Professions with Computer Systems and was published in 2016. The most recent citation comes from a 2024 study titled Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting. This article reached its peak citation in 2021, with 1,100 citations. It has been cited in 1,993 different journals, 21% of which are open access. Among related journals, the Scientific Reports cited this research the most, with 195 citations. The chart below illustrates the annual citation trends for this article.