Buyer Beware: confounding factors and biases abound when predicting omics-based biomarkers from histological images
Nanoscale Visualization of the Chromatin Remodeling as Potent Biomarker in Aggressive Breast Cancers
Classifying Intraspinal Tumors: A Multi-modal MRI and Machine Learning Approach
Breast tumor segmentation in ultrasound using distance-adapted fuzzy connectedness, convolutional neural network, and active contour
Can radiological response after downstaging of hepatocellular carcinoma serve as a basis for subsequent treatment selection?
Bias in Histopathology Datasets: A Comprehensive Investigation on Possible Factors
Correlation between Imaging Features of Pure Ground-Glass Opacities and Pathological Subtypes of Lung Minimally Invasive Adenocarcinoma and Precursor Lesions
Comprehensive Radiomics Analysis for Predicting Benign and Malignant Intraductal Papillary Mucinous Neoplasms (IPMNs) of the Pancreas: Integrating Clinical and Imaging Data
The study of plain CT combined with contrast-enhanced CT-based models for predicting malignancy of solitary solid pulmonary nodules
CT radiomics for Predicting Survival in Patients with Unresectable Pancreatic Ductal Adenocarcinoma after Chemotherapy