A Video Transformer Network for Thyroid Cancer Detection on Hyperspectral Histologic Images.
Proc SPIE Int Soc Opt Eng
; 124712023 Feb.
Article
en En
| MEDLINE
| ID: mdl-38577581
ABSTRACT
Hyperspectral imaging is a label-free and non-invasive imaging modality that seeks to capture images in different wavelengths. In this study, we used a vision transformer that was pre-trained from video data to detect thyroid cancer on hyperspectral images. We built a dataset of 49 whole slide hyperspectral images (WS-HSI) of thyroid cancer. To improve training, we introduced 5 new data augmentation methods that transform spectra. We achieved an F-1 score of 88.1% and an accuracy of 89.64% on our test dataset. The transformer network and the whole slide hyperspectral imaging technique can have many applications in digital pathology.
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Colección:
01-internacional
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MEDLINE
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En
Revista:
Proc SPIE Int Soc Opt Eng
Año:
2023
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Article