The devil is in the details: a small-lesion sensitive weakly supervised learning framework for prostate cancer detection and grading
Zhongyi Yang, Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Xinran Wang, Wei Yang, Zhongyu Li, Xiao Han, Yueping Liu
Topics & Concepts
Computer scienceGrading (engineering)Artificial intelligenceProstate cancerDigital pathologyMachine learningReceiver operating characteristicConvolutional neural networkRobustness (evolution)Pattern recognition (psychology)ProstateDeep learningMedicineCancerInternal medicineGeneEngineeringBiochemistryCivil engineeringChemistryAI in cancer detectionProstate Cancer Diagnosis and TreatmentAdvanced Neural Network Applications