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Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images

Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
We present nonlinea rmicroscopy imaging results and analysis from canine mammary cancer biopsies. Second harmonic generation imaging allows information of the collagen structure in the extracellular matrix that together with the fluorescence of the cell regions of the biopsies form a base for comprehensive image analysis. We demonstrate an automated image analysis method to classify the histological type of canine mammary cancer using a range of parameters extracted from the images. The software developed for image processing and analysis allows for the extraction of the collagen fibre network and the cell regions of the images. Thus, the tissue properties are obtained after the segmentation of the image and the metrics are measured specifically for the collagen and the cell regions. A linear discriminant analysis including all the extractedmetrics allowed to clearly separate between the healthy and cancerous tissue with a 91%-accuracy. Also, a 61%-accuracy was achieved for a comparison of healthy and three histological cancer subtypes studied
2156-7085
6413-6427
Reis, Luana A.
4c7dcb34-71c6-40da-8bbd-00927d01a019
Garcia, Ana P. V.
f8f38033-8097-40ae-be69-c9b8c1cbbfc2
Gomes, Egleidson F. A.
c0f1711f-976d-4904-b8b2-6e8f85be857d
Longford, Francis G.J.
27eec433-a773-4cc7-8327-70c5103382e0
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Cassali, Geovanni D.
21a1bb65-0f11-4efa-9d19-531724ea1a3c
de Paula, Ana M.
9868f160-10a9-443f-b179-02ca8426003e
Reis, Luana A.
4c7dcb34-71c6-40da-8bbd-00927d01a019
Garcia, Ana P. V.
f8f38033-8097-40ae-be69-c9b8c1cbbfc2
Gomes, Egleidson F. A.
c0f1711f-976d-4904-b8b2-6e8f85be857d
Longford, Francis G.J.
27eec433-a773-4cc7-8327-70c5103382e0
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Cassali, Geovanni D.
21a1bb65-0f11-4efa-9d19-531724ea1a3c
de Paula, Ana M.
9868f160-10a9-443f-b179-02ca8426003e

Reis, Luana A., Garcia, Ana P. V., Gomes, Egleidson F. A., Longford, Francis G.J., Frey, Jeremy G., Cassali, Geovanni D. and de Paula, Ana M. (2020) Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images. Biomedical Optics Express, 11 (11), 6413-6427. (doi:10.1364/BOE.400871).

Record type: Article

Abstract

We present nonlinea rmicroscopy imaging results and analysis from canine mammary cancer biopsies. Second harmonic generation imaging allows information of the collagen structure in the extracellular matrix that together with the fluorescence of the cell regions of the biopsies form a base for comprehensive image analysis. We demonstrate an automated image analysis method to classify the histological type of canine mammary cancer using a range of parameters extracted from the images. The software developed for image processing and analysis allows for the extraction of the collagen fibre network and the cell regions of the images. Thus, the tissue properties are obtained after the segmentation of the image and the metrics are measured specifically for the collagen and the cell regions. A linear discriminant analysis including all the extractedmetrics allowed to clearly separate between the healthy and cancerous tissue with a 91%-accuracy. Also, a 61%-accuracy was achieved for a comparison of healthy and three histological cancer subtypes studied

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Accepted/In Press date: 4 October 2020
e-pub ahead of print date: 16 October 2020

Identifiers

Local EPrints ID: 444676
URI: http://eprints.soton.ac.uk/id/eprint/444676
ISSN: 2156-7085
PURE UUID: 5fc1c286-9f46-427d-af58-431c2c2d03df
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

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Date deposited: 29 Oct 2020 17:31
Last modified: 18 Feb 2021 16:33

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