Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer
This study introduces label-free, automated ovarian tissue cell recognition using O-PTIR imaging, offering 10× better resolution than FTIR. It outperforms FTIR, achieving 0.98 classification accuracy. This work aids early ovarian cancer diagnosis.
