Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI
Jason Cai, Hirotsugu Nakai, Shiba Kuanar, Adam T. Froemming, Candice W. Bolan, Akira Kawashima, Hiroaki Takahashi, Lance A. Mynderse, Chandler Dora, Mitchell R. Humphreys, Panagiotis Korfiatis, Pouria Rouzrokh, Alex Bratt, Gian Marco Conte, Bradley J. Erickson, Naoki Takahashi
Abstract
The performance of a deep learning model was not different from that of radiologists in the detection of clinically significant prostate cancer at MRI, and gradient-weighted class activation maps localized the tumor.
Topics & Concepts
MedicineProstate cancerDeep learningProstateArtificial intelligenceMagnetic resonance imagingRadiologyCancerMedical physicsInternal medicineComputer scienceProstate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingAI in cancer detection