Related Experiment Video For breast tumor
Updated: Sep 18, 2025
Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors
Published on: April 5, 2020
Hyperspectral Imaging for Benign and Malignant Diagnosis of Breast Tumors
Yihui He1, Yihan Zhao2, Jia Xu1
1Department of General Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
Objective:
To assess the feasibility of combining microscopic hyperspectral imaging (370-1100 nm) with a lightweight 1D-CNN for rapid, label-free discrimination of benign and malignant breast tumors.
Methods:
Breast specimens (43 malignant, 39 benign) were imaged; 2 050 000 pixel spectra were preprocessed (dark-current subtraction, white-reference calibration, Savitzky-Golay smoothing, z-score normalization) and input to a custom 1D-CNN. Performance was benchmarked against SVM, AlexNet, and LSTM using accuracy, sensitivity, specificity.
Results:
The 1D-CNN achieved 90.43% accuracy, 89.10% sensitivity, 91.34% specificity, exceeding baseline models.
Conclusions:
Combining HSI with 1D CNN enables rapid and highly accurate classification of breast tumors, providing a new approach to rapid pathological diagnosis.
