Semi-supervised prostate lesion grade identification model and system based on multi-task learning

• Main Authors: YI KUNMING, PENG JUNHAO, REN JUNJIE, TONG DALI
• Format: Patent
• Language: Chinese; English
• Published: 10.05.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention provides a semi-supervised prostate lesion grade identification model based on multi-task learning. The model structure sequentially comprises a U2-net neural network, a grey-scale map and original medical image conversion layer and an SE-ResNet34 neural network from an input end to an...