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Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth.

, , , , , , , , , и . Medical Imaging: Image-Guided Procedures, том 10951 из SPIE Proceedings, стр. 109511A. SPIE, (2019)

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Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning., , , , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks., , , , , , и . Medical Imaging: Digital Pathology, том 10956 из SPIE Proceedings, стр. 109560K. SPIE, (2019)Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides., , , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification., , , , , , , , и . Medical Imaging: Image-Guided Procedures, том 11598 из SPIE Proceedings, SPIE, (2021)Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth., , , , , , , , , и . Medical Imaging: Image-Guided Procedures, том 10951 из SPIE Proceedings, стр. 109511A. SPIE, (2019)Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images., , , , , , и . Medical Imaging: Digital Pathology, том 11320 из SPIE Proceedings, стр. 113200C. SPIE, (2020)