Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging

Martin Halicek, Guolan Lu, James V. Little, +6

Journal of Biomedical Optics

Convolutional Neural NetworkNeck CancerEngineeringMachine LearningDigital Pathology +16

Non-Neoplastic Disorders of the Lower Respiratory Tract

James V. Little

CHEST Journal

AsthmaRespiratory DiseasesPathologyLower Respiratory TractPulmonary Medicine +3

Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients

Baowei Fei, Guolan Lu, Xu Wang, +6

Journal of Biomedical Optics

Surgical OncologyEngineeringOncologic ImagingMultispectral ImagingHsi Image +26

Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning

Martin Halicek, James D. Dormer, James V. Little, +4

Cancers

Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging

Guolan Lu, James V. Little, Xu Wang, +6

Clinical Cancer Research

Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning

Martin Halicek, James D. Dormer, James V. Little, +2

Biomedical Optics Express

Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural Networks

Martin Halicek, Maysam Shahedi, James V. Little, +4

Scientific Reports

Vascular “Pseudo Invasion” in Laparoscopic Hysterectomy Specimens: A Diagnostic Pitfall

Sanjay Logani, Anne V. Herdman, James V. Little, +1

The American Journal of Surgical Pathology

Diagnostic PitfallLaparoscopyGynecologic SurgerySurgical OncologySafe Technique +10

Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks

Martin Halicek, James V. Little, Xu Wang, +2

Journal of Biomedical Optics

Neck CancerEngineeringOncologic ImagingDigital PathologyPathology +18

Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks

Martin Halicek, Baowei Fei, James V. Little, +5