Prachi Srivastava, Nathan T T Lau, Daniel Ansari, Nisha Thampi
Effects of school-level and area-level socio-economic factors on elementary school student COVID-19 infections: a population-based observational study
BMJ open
early diagnosis breast cancer lead effective treatment possibly increase longterm survival rates improve quality life objective study present automated analysis classification system breast cancer using clinical markers tumor shape orientation margin surrounding tissue novelty uniqueness study lie approach considering medical features based diagnosis radiologists using clinical markers graph generated feature represented node connection represented edge derived pearsons correlation method graph convolutional network gcn model proposed classify breast tumors benign malignant using graph data several statistical tests performed assess importance proposed features performance proposed gcn model improved experimenting different layer configurations hyperparameter settings results show proposed model 9873 test accuracy performance model compared graph attention network onedimensional convolutional neural network five transfer learning models ten machine learning models three ensemble learning models performance model assessed three supplementary breast cancer ultrasound image datasets accuracies 9103 9437 8962 dataset dataset b dataset c combining dataset dataset b respectively overfitting issues assessed kfold crossvalidation several variants utilized present rigorous fair evaluation work especially importance extracting clinically relevant features moreover gcn model using graph data promising solution automated featurebased breast image classification system