Machine Learning, Computational Pathology, and Biophysical Imaging

Curated Collections From the American Journal of Pathology
Artificial Intelligence and Pathobiology Join Forces in The American Journal of Pathology
Integrated Fourier Transform Infrared Imaging and Proteomics for Identification of a Candidate Histochemical Biomarker in Bladder Cancer
X-Ray Micro-Computed Tomography for Nondestructive Three-Dimensional (3D) X-Ray Histology
Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer
Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning
Decidual Vasculopathy Identification in Whole Slide Images Using Multiresolution Hierarchical Convolutional Neural Networks
Pathology of Idiopathic Pulmonary Fibrosis Assessed by a Combination of Microcomputed Tomography, Histology, and Immunohistochemistry
Image-Based Machine Learning Algorithms for Disease Characterization in the Human Type 1 Diabetes Pancreas
Three-Dimensional Vessel Segmentation in Whole-Tissue and Whole-Block Imaging Using a Deep Neural Network