Texture-Analysis Classification of Intraductal Carcinoma of the Prostate Using Label-Free Multimodal Nonlinear Optical Imaging
Gagnon, J. R.; Allen, C. H.; Diop, M.-K.; Dallaire, F.; Leblond, F.; Trudel, D.; Murugkar, S.
Show abstract
Intraductal carcinoma of the prostate (IDC-P) is a very aggressive histopathological subtype of prostate cancer (PCa) for which no accurate biomarkers exist. In our work, we apply a multimodal nonlinear optical imaging approach that uses second-harmonic generation (SHG) and stimulated Raman scattering (SRS) imaging to distinguish IDC-P from regular PCa and benign prostate tissue. Images from each tissue type were classified using support vector machine (SVM). The technique classified the images from each region based on first-order statistics and texture-based second-order statistics derived from the gray-level co-occurrence matrix (GLCM) of the images. Our results demonstrate that SVM models trained on either SHG or SRS images accurately classify IDC-P as well as high-grade PCa, low-grade PCa, and benign tissue with a mean classification accuracy of over 89%. Furthermore, a classification model combining both SHG and SRS imaging modalities can accurately classify all tissue types with a mean classification accuracy of 98%.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Interpretable dimensionality reduction and classification of mass spectrometry imaging data in a visceral pain model via non-negative matrix factorization 94%
- FalseColor-Python: a rapid intensity-leveling and digital-staining package for fluorescence-based slide-free digital pathology 94%
- RamanBot: Versatile high throughput Raman system 94%
Similar papers in this journal
- Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy 97%
- Machine learning-enabled cancer diagnostics with widefield polarimetric second-harmonic generation microscopy 97%
- Method for in vivo assessment of cancer tissue inhomogeneity and accurate histology-like morphological segmentation based on Optical Coherence Elastography 94%
Similar papers in this journal
- Determination of best Raman spectroscopy spatial offsets for transcutaneous bone quality assessments in human hands 96%
- Label-free differentiation of functional zones in mature mouse placenta using micro-Raman imaging 95%
- Non-Degenerate Two-Photon Imaging of Deep Rodent Cortex using Indocyanine Green in the water absorption window 95%
Similar papers in this journal
- Automated Raman micro-spectroscopy of epithelial cells for the high-throughput classification. 96%
- piNET: An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer Images 92%
- Revision of commonly accepted Warburg mechanism of cancer development. Redox-sensitive mitochondrial cytochromes in breast and brain cancers by Raman imaging 91%
Similar papers in this journal
- Creating virtual H&E images using samples imaged on a commercial CODEX platform 93%
- Using an Anomaly Detection Approach for the Segmentation of Colorectal Cancer Tumors in Whole Slide Images 92%
- Independent assessment of a deep learning system for lymph node metastasis detection on the Augmented Reality Microscope 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.