Member Publications

ARTICLE	JOURNAL
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 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.

Requirements:

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

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