James V. Little
Affiliations:- Emory University, School of Medicine, Atlanta, GA, USA
According to our database1,
James V. Little
authored at least 12 papers
between 2017 and 2022.
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Bibliography
2022
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and deep learning.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
2019
Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
2018
Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Deformable registration of histological cancer margins to gross hyperspectral images using demons.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
2017
Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017