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Proceedings of Spie--The International Society for Optical Engineering|September 25, 2018
Tumor Margin Classification of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural NetworksMartin Halicek, James V Little, Xu Wang, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Using a 22-Layer U-Net to Perform Segmentation of Squamous Cell Carcinoma on Digitized Head and Neck Histological ImagesAmol Mavuduru, Martin Halicek, Maysam Shahedi, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 9, 2018
Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imagingBaowei Fei, Guolan Lu, Xu Wang, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 5, 2022
Hyperspectral Microscopic Imaging for the Detection of Head and Neck Squamous Cell Carcinoma on Histologic SlidesLing Ma, Ximing Zhou, James V Little, et al.
Scientific Reports|October 3, 2019
Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural NetworksMartin Halicek, Maysam Shahedi, James V Little, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Detection of Squamous Cell Carcinoma in Digitized Histological Images from the Head and Neck Using Convolutional Neural NetworksMartin Halicek, Maysam Shahedi, James V Little, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 27, 2021
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learningXiming Zhou, Ling Ma, William Brown, et al.
Scientific Reports|November 30, 2019
Histopathology Feature Mining and Association with Hyperspectral Imaging for the Detection of Squamous NeoplasiaGuolan Lu, Dongsheng Wang, Xulei Qin, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 11, 2018
Optical Biopsy of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural NetworksMartin Halicek, James V Little, Xu Wang, et al.
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