Deep learning-based image quality assessment: impact on detection accuracy of prostate cancer extraprostatic extension on MRI.
Yue LinMason J BelueEnis C YilmazYan Mee LawKatie M MerrimanTim E PhelpsDavid G GelikmanKutsev B OzyorukNathan S LayMaria J MerinoBradford J WoodSandeep GurramPeter L ChoykeStephanie A HarmonPeter A PintoIsmail Baris TurkbeyPublished in: Abdominal radiology (New York) (2024)
Our study successfully employed a deep learning-based AI algorithm to classify image quality of prostate MRI and demonstrated that better quality T2WI was associated with more accurate prediction of EPE at final pathology.
Keyphrases
- image quality
- deep learning
- prostate cancer
- artificial intelligence
- computed tomography
- contrast enhanced
- magnetic resonance imaging
- machine learning
- convolutional neural network
- dual energy
- radical prostatectomy
- diffusion weighted imaging
- high resolution
- magnetic resonance
- mass spectrometry
- benign prostatic hyperplasia
- real time pcr