Stimulated Raman Scattering Microscopy Enables Gleason Scoring of Prostate Core Needle Biopsy by a Convolutional Neural Network.
Jianpeng AoXiaoguang ShaoZhijie LiuQiang LiuJun XiaYongheng ShiLin QiJiahua PanMinbiao JiPublished in: Cancer research (2023)
A platform combining stimulated Raman scattering microscopy and a convolutional neural network provides rapid histopathology and automated Gleason scoring on fresh prostate core needle biopsies without complex tissue processing.
Keyphrases
- convolutional neural network
- prostate cancer
- ultrasound guided
- high throughput
- deep learning
- label free
- radical prostatectomy
- fine needle aspiration
- single molecule
- high resolution
- high speed
- optical coherence tomography
- raman spectroscopy
- machine learning
- benign prostatic hyperplasia
- single cell
- loop mediated isothermal amplification