Related Experiment Video For Head and neck cancer
Updated: Dec 20, 2025
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Detection of Squamous Cell Carcinoma in Digitized Histological Images from the Head and Neck Using Convolutional
Martin Halicek1,2,3, Maysam Shahedi1, James V Little4
1Department of Bioengineering, University of Texas at Dallas, Dallas, TX, USA.
Abstract:
Primary management for head and neck squamous cell carcinoma (SCC) involves surgical resection with negative cancer margins. Pathologists guide surgeons during these operations by detecting SCC in histology slides made from the excised tissue. In this study, 192 digitized histological images from 84 head and neck SCC patients were used to train, validate, and test an inception-v4 convolutional neural network. The proposed method performs with an AUC of 0.91 and 0.92 for the validation and testing group. The careful experimental design yields a robust method with potential to help create a tool to increase efficiency and accuracy of pathologists for detecting SCC in histological images.
