Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images Read more about Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images
Deep Learning Tissue Segmentation in Cardiac Histopathology Images Read more about Deep Learning Tissue Segmentation in Cardiac Histopathology Images
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology Read more about Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers Read more about A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers
Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images Read more about Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images
An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival Read more about An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival
Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens is predictive of early biochemical recurrence in prostate cancer patients Read more about Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens is predictive of early biochemical recurrence in prostate cancer patients
A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI Read more about A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI
A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H and e tissue Read more about A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H and e tissue
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images Read more about A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images
