Member Publications

Video compression to support the expansion of whole-slide imaging into cytology Journal of Medical Imaging 2019

Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer

Cellular Oncology  

Deep learning assisted mitotic counting for breast cancer

Laboratory Investigation  

Detection of lung cancer lymph node metastases from whole-slide histopathological images using a two-step deep learning approach

The American Journal of Pathology  

Quantitative Image Analysis of HER2 Immunohistochemistry for Breast Cancer

Archives of Pathology and Laboratory Medicine  
Implementation of Deep Neural Networks to Count Dopamine Neurons in Substantia Nigra European Journal of Neurology  
Validation of a Muscle-Specific Tissue Image-Analysis Tool for Quantitative Assessment of Dystrophin Staining in Frozen Muscle Biopsies Archives of Pathology and Laboratory Medicine  
Estimation of Fine-Scale Histologic Features at Low Magnification Archives of Pathology & Laboratory Medicine  
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks IEEE Trans Med Imaging  
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies Modern Pathology  
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset Gigascience  
Validation of a whole-slide image-based teleconsultation network Histopathology  
Evaluating the benefits of digital pathology implementation: time savings in laboratory logistics Histopathology  
US Food and Drug Administration Approval of Whole Slide Imaging for Primary Diagnosis: A Key Milestone Is Reached and New Questions Are Raised Archives of Pathology & Laboratory Medicine  
Computer vision detects subtle histological effects of dutasteride on benign prostate BJU International  


Have you authored a recent publication in a peer reviewed journal?


We are asking that DPA members who are authors of scientific works published within the last year submit them through our online form so that we can let everybody know about your work! Member publications will be posted on DPA social media outlets as well as the DPA website. This is a great opportunity to get others to read your work while keeping our members and followers up to date on the latest advances in digital pathology.




  1. At least one DPA member must be listed as an author on the paper
  2. Must be a full paper (not an abstract only) published in a peer reviewed journal
  3. Content must be relevant to the field of digital pathology
  4. Publication date is no earlier than 2019


Please note that all submissions will be reviewed by the DPA Vetting Committee for approval prior to posting. To be considered, please submit the online form. Please note that you must be logged into your DPA Member profile to access the form.