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Journal of Pathology Informatics|February 28, 2022
A Novel Superpixel Approach to the Tumoral Microenvironment in Colorectal CancerSean M Hacking, Dongling Wu, Claudine Alexis, et al.Journal of Pathology Informatics|March 4, 2022
Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung AdenocarcinomaAlena Arlova, Chengcheng Jin, Abigail Wong-Rolle, et al.Journal of Pathology Informatics|March 4, 2022
Neural Network Assisted Pathology Case IdentificationJerome ChengJournal of Pathology Informatics|June 5, 2018
Convolutional Deep Belief Network with Feature Encoding for Classification of Neuroblastoma Histological ImagesSoheila Gheisari, Daniel R Catchpoole, Amanda Charlton, et al.Journal of Pathology Informatics|June 7, 2017
Training Nuclei Detection Algorithms with Simple AnnotationsHenning Kost, André Homeyer, Jesper Molin, et al.Journal of Pathology Informatics|April 6, 2018
Deep Learning Nuclei Detection in Digitized Histology Images by SuperpixelsSudhir Sornapudi, Ronald Joe Stanley, William V Stoecker, et al.Journal of Pathology Informatics|May 9, 2017
Predictive Nuclear Chromatin Characteristics of Melanoma and Dysplastic NeviMatthew G Hanna, Chi Liu, Gustavo K Rohde, et al.Journal of Pathology Informatics|May 9, 2017
Alchemy: A Web 2.0 Real-time Quality Assurance Platform for Human Immunodeficiency Virus, Hepatitis C Virus, and BK Virus Quantitation AssaysEmmanuel Agosto-Arroyo, Gina M Coshatt, Thomas S Winokur, et al.Journal of Pathology Informatics|April 20, 2023
Current status of machine learning in thyroid cytopathologyCharles M Wong, Brie E Kezlarian, Oscar LinJournal of Pathology Informatics|April 8, 2021
Constellation Loss: Improving the Efficiency of Deep Metric Learning Loss Functions for the Optimal Embedding of histopathological imagesAlfonso Medela, Artzai PiconPageof 88