|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|
We are asking that DPA members who are authors of scientific works published within the last two months 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.
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.