File:Normal_breast_histology.png
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Original file (2,041 × 1,730 pixels, file size: 4.01 MB, MIME type: image/png)
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Summary
DescriptionNormal breast histology.png |
English: Normal breast histology. H&E stain |
Date | |
Source |
Own work. Source images:
|
Author |
Mikael Häggström, M.D. Consent note: Consent from the patient or patient's relatives is regarded as redundant, because of absence of identifiable features (List of HIPAA identifiers) in the media and case information (See also HIPAA case reports guidance). The image integrates a source image by de Bel T, Litjens G, Ogony J, Stallings-Mann M, Carter JM, and Hilton T |
Other versions | File:Normal breast histology-es.png |
Licensing
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Items portrayed in this file
depicts
26 December 2022
image/png
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 15:17, 27 December 2022 | 2,041 × 1,730 (4.01 MB) | Mikael Häggström | More clearly pointing at lumen | |
23:19, 26 December 2022 | 2,053 × 1,729 (4.02 MB) | Mikael Häggström | Uploaded a work by de Bel T, Litjens G, Ogony J, Stallings-Mann M, Carter JM, Hilton T from {{cite journal| author=de Bel T, Litjens G, Ogony J, Stallings-Mann M, Carter JM, Hilton T | display-authors=etal| title=Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning. | journal=NPJ Breast Cancer | year= 2022 | volume= 8 | issue= 1 | pages= 13 | pmid=35046392 | doi=10.1038/s41523-021-00378-7 | pmc=8770616 | url=https://www.ncbi.nlm.nih.gov/entr... |
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Horizontal resolution | 37.8 dpc |
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Vertical resolution | 37.8 dpc |
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