A novel federated learning framework for medical imaging: Resource‐efficient approach combining PCA with early stopping
Magnetic resonance imaging–based radiation treatment plans for dogs may be feasible with the use of generative adversarial networks
Scribble-based weakly supervised method for segmentation of neonatal cerebral ventricles from 3D ultrasound images
Prediction of prostate cancer recurrence after radiotherapy using a fused machine learning approach: utilizing radiomics from pretreatment T2W MRI images with clinical and pathological information
Semi-supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound
Fully Automated Deep Learning-Based Renal Mass Detection on Multi-Parametric MRI
Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning
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