Related references
Note: Only part of the references are listed.A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images
Jun Xu et al.
NEUROCOMPUTING (2016)
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Geert Litjens et al.
SCIENTIFIC REPORTS (2016)
Semantic Focusing Allows Fully Automated Single-Layer Slide Scanning of Cervical Cytology Slides
Bernd Lahrmann et al.
PLOS ONE (2013)
An Automated Blur Detection Method for Histological Whole Slide Imaging
Xavier Moles Lopez et al.
PLOS ONE (2013)
Distributed computing in image analysis using open source frameworks and application to image sharpness assessment of histological whole slide images
Norman Zerbe et al.
DIAGNOSTIC PATHOLOGY (2011)
Quality evaluation of virtual slides using methods based on comparing common image areas
Slawomir Walkowski et al.
DIAGNOSTIC PATHOLOGY (2011)
Learning Deep Architectures for AI
Yoshua Bengio
FOUNDATIONS AND TRENDS IN MACHINE LEARNING (2009)
Optimal neural network architecture selection: Improvement in computerized detection of microcalcifications
MN Gurcan et al.
ACADEMIC RADIOLOGY (2002)
Selection of an optimal neural network architecture for computer-aided detection of microcalcifications - Comparison of automated optimization techniques
MN Gurcan et al.
MEDICAL PHYSICS (2001)
Share Paper
