Cancer detection from stained biopsies using high-speed spectral imaging

Cancer detection from stained biopsies using high-speed spectral imaging

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The escalating demand for diagnosing pathological biopsies requires the procedures to be expedited and automated. The existing imaging systems for measuring biopsies only measure color, and even though a lot of effort is invested in deep learning analysis, there are still serious challenges regardin...

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Bibliographic Details
Main Authors: Barshack, I. (Author), Bronshtein-Berger, I. (Author), Brozgol, E. (Author), Garini, Y. (Author), Gondra, H. (Author), Kumar, P. (Author), Lindner, M. (Author), Medalion, S. (Author), Necula, D. (Author), Shapira, Y. (Author), Twito, L. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2022
Subjects:
Biopsy
Cancer detection
Classification algorithm
Color information
Deep learning
Diseases
High Speed
Image enhancement
Medical imaging
Medical settings
Patient treatment
Performance
Spectral classification
Spectral images
Spectral imaging
Spectral information
Spectroscopy
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