Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens (CROSBI ID 689015)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Sitnik, Dario ; Aralica, Gorana ; Pačić, Arijana ; Popović Hadžija, Marijana ; Hadžija, Mirko ; Kopriva, Ivica
engleski
Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens
There is a need for computer-aided diagnosis (CAD) systems to relieve the workload on pathologists. This seems to be especially important for intraoperative diagnosis during surgery, for which diagnostic time is very limited. This paper presents preliminary results of intraoperative pixel-based CAD of colon cancer metastasis in a liver from phase- contrast images of unstained frozen sections. In particular, two deep learning networks: the U-net and the structured autoencoder for deep subspace clustering, were trained on eighteen phase-contrast images belonging to five patients and tested on eight images belonging to three patients. Spectrum angle mapper was also used in comparative performance analysis. The best result achieved by the U-net yielded balanced accuracy of 83.70%±8%, sensitivity of 94.50%±8%, specificity of 72.9%±8% and Dice coefficient of 45.20%±25.4%. However, factors such as absence of tissue fixation and ethanol- induced dehydration, melting of the specimen under the microscope and/or frozen crystals in the specimen cause variations in quality of phase-contrast images of unstained frozen sections. This, in return, affects reproducibility of diagnostic performance.
U-net ; Structured autoencoders ; intraoperative diagnosis ; colon cancer metastasis in a liver ; phase-contrast imaging ; unstained specimens
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Podaci o prilogu
1132009
2020.
nije evidentirano
objavljeno
10.1117/12.2542799
Podaci o matičnoj publikaciji
Digital Pathology Conference - SPIE Medical Imaging Symposium 2020
Tomaszewski, John E. ; Ward, Aaron D.
Bellingham (WA): SPIE
Podaci o skupu
SPIE Medical Imaging Symposium 2020
predavanje
15.02.2020-20.02.2020
Houston (TX), Sjedinjene Američke Države