"Nevus" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A circumscribed stable malformation of the skin and occasionally of the oral mucosa, which is not due to external causes and therefore presumed to be of hereditary origin.
Descriptor ID |
D009506
|
MeSH Number(s) |
C04.557.665.560
|
Concept/Terms |
Nevus- Nevus
- Moles, Skin
- Skin Mole
- Skin Moles
- Mole, Skin
- Nevi
|
Below are MeSH descriptors whose meaning is more general than "Nevus".
Below are MeSH descriptors whose meaning is more specific than "Nevus".
This graph shows the total number of publications written about "Nevus" by people in this website by year, and whether "Nevus" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
Year | Major Topic | Minor Topic | Total |
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1997 | 0 | 1 | 1 |
2005 | 1 | 0 | 1 |
2007 | 1 | 0 | 1 |
2012 | 1 | 0 | 1 |
2016 | 3 | 1 | 4 |
2017 | 5 | 1 | 6 |
2018 | 4 | 0 | 4 |
2019 | 9 | 0 | 9 |
2020 | 0 | 1 | 1 |
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Below are the most recent publications written about "Nevus" by people in Profiles.
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Malignancy going viral: ACE2 and TMPRSS2 expression in conjunctival neoplastic diseases. Ann Anat. 2021 03; 234:151661.
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Dermatological insights from Google Trends: what does the public think is important during COVID-19 lockdown? Clin Exp Dermatol. 2020 Oct; 45(7):898-900.
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[Management of ocular cancer during COVID-19 pandemic]. J Fr Ophtalmol. 2020 Jun; 43(6):545-546.
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Primary cutaneous melanoma: correlation between clinical and histologic aspects in a retrospective Italian study. G Ital Dermatol Venereol. 2019 Oct; 154(5):519-522.
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Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks. Eur J Cancer. 2019 09; 119:57-65.
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Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019 09; 119:11-17.
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Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images. Eur J Cancer. 2019 09; 118:91-96.
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Facial folliculocystic and collagen hamartoma: a variant of fibrous cephalic plaque with prominent cyst formation? J Dtsch Dermatol Ges. 2019 07; 17(7):738-741.
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Pathologist-level classification of histopathological melanoma images with deep neural networks. Eur J Cancer. 2019 07; 115:79-83.
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Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. Eur J Cancer. 2019 05; 113:47-54.