Oncology

The following models are related to vesicoureteral reflux (VUR), urinary tract infections (UTI) and related models.

Nashat et al. (2025)

Response to chemotherapy in Wilms tumor Article DOI https://doi.org/10.4111/icu.20240135 Objective To predict the response to preoperative chemotherapy in Wilms tumor using contrast-enhanced computed tomography (CT) AI Approach SVM, decision tree, KNN, LR, multi-layer…

Koska et al. (2024)

Wilms tumor versus others with radiomics Article DOI https://dx.doi.org/10.1007/s00330-024-10589-8 Objective To build a classifier for the preoperative differentiation of Wilms tumor vs adrenal neuroblastoma in pediatric abdominal CT AI Approach SVM, RF Data…

Kornepati et al. (2024)

Wilms Tumor by deep learning Article DOI https://dx.doi.org/10.1109/OCIT65031.2024.00059 Objective To differentiate between Wilms tumours and other pediatric tumours from magnetic resonance imaging (MRI) scans AI Approach CNN Data Source(s) Radiopedia.org images of MRI…

Zhu et al. (2023)

Wilms tumor versus non-Wilms Tumor, Oncology. Article DOI https://doi.org/10.1038/s41390-023-02553-x Objective To discriminate Wilms tumor (WT) from non-WTs AI Approach CNN Data Source(s) Single institutional series (364 patients) Model Input 224 x 224 regions…

Song et al. (2024)

Wilms tumor versus non-Wilms tumor, Oncology. Article DOI https://doi.org/10.21037/tp-23-508 Objective To classify CT images for identification of Wilms and non-Wilms tumors. AI Approach SVM, RF, LDA, Adaboost, Gaussian process, Auto-Encoder, LR-Lasso, Decision tree,…

Sharaby et al. (2023)

Wilms tumor response to chemotherapy, Oncology. Article DOI https://doi.org/10.3390/diagnostics13030486 Objective To assess the response of Wilms’ tumors to preoperative chemotherapy AI Approach Support vector machines Data Source(s) Single institutional series (63 patients) Model…

Ma et al. (2022)

Wilms tumor stage, Oncology. Article DOI https://doi.org/10.3389/fped.2022.873035 Objective To preoperatively predict stages (stage I and non-stage I) Wilms tumor in pediatric patients AI Approach Support Vector Machines Data Source(s) Single institutional series (118…

Li et al. (2023)

Chemotherapy myelosupression, Oncology. Article DOI https://doi.org/10.3390/cancers15041078 Objective To predict the risk of chemotherapy-induced myelosuppression (CIM) in children with Wilms’ tumor. AI Approach Extreme Gradient Boosting, Logistic regression, Random Forrest, Lasso, Support Vector Machines,…