Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning
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Title
Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning
Authors
Keywords
Pathologists, Convolution, Imaging techniques, Differentiated tumors, Neural networks, Cell enumeration techniques, Cytoplasmic staining, Nuclear staining
Journal
PLoS One
Volume 13, Issue 4, Pages e0195621
Publisher
Public Library of Science (PLoS)
Online
2018-04-13
DOI
10.1371/journal.pone.0195621
References
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Related references
Note: Only part of the references are listed.- Proliferation assessment in breast carcinomas using digital image analysis based on virtual Ki67/cytokeratin double staining
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- (2012) Pamela P. Goodell et al. AMERICAN JOURNAL OF CLINICAL PATHOLOGY
- Clustering methods applied in the detection of Ki67 hot-spots in whole tumor slide images: An efficient way to characterize heterogeneous tissue-based biomarkers
- (2012) Xavier Moles Lopez et al. CYTOMETRY PART A
- NANETS Consensus Guideline for the Diagnosis and Management of Neuroendocrine Tumors
- (2010) Alexandria T. Phan et al. PANCREAS
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- (2009) Pawel Smialowski et al. BIOINFORMATICS
- Expanding the multicolor capabilities of basic confocal microscopes by employing red and near-infrared quantum dot conjugates
- (2009) Lara M Kingeter et al. BMC BIOTECHNOLOGY
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Pancreatic neuroendocrine tumors (PNETs): incidence, prognosis and recent trend toward improved survival
- (2008) T. R. Halfdanarson et al. ANNALS OF ONCOLOGY
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