Related references
Note: Only part of the references are listed.Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology
Francesco Ponzio et al.
ELECTRONICS (2019)
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Mitko Veta et al.
MEDICAL IMAGE ANALYSIS (2019)
BACH: Grand challenge on breast cancer histology images
Guilherme Aresta et al.
MEDICAL IMAGE ANALYSIS (2019)
Adaptive Batch Normalization for practical domain adaptation
Yanghao Li et al.
PATTERN RECOGNITION (2018)
Digital image analysis in breast pathology-from image processing techniques to artificial intelligence
Stephanie Robertson et al.
TRANSLATIONAL RESEARCH (2018)
Machine Learning Methods for Histopathological Image Analysis
Daisuke Komura et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2018)
Comparison of deep transfer learning strategies for digital pathology
Romain Mormont et al.
PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2018)
Training echo state networks for rotation-invariant bone marrow cell classification
Philipp Kainz et al.
NEURAL COMPUTING & APPLICATIONS (2017)
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Babak Ehteshami Bejnordi et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Automated analysis of high-content microscopy data with deep learning
Oren Z. Kraus et al.
MOLECULAR SYSTEMS BIOLOGY (2017)
Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms
Ravi K. Samala et al.
PHYSICS IN MEDICINE AND BIOLOGY (2017)
Classification and Retrieval of Digital Pathology Scans: A New Dataset
Morteza Babaie et al.
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Collaborative analysis of multi-gigapixel imaging data using Cytomine
Raphael Maree et al.
BIOINFORMATICS (2016)
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
Korsuk Sirinukunwattana et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Multi-class texture analysis in colorectal cancer histology
Jakob Nikolas Kather et al.
SCIENTIFIC REPORTS (2016)
Identification of tumor epithelium and stroma in tissue microarrays using texture analysis
Nina Linder et al.
DIAGNOSTIC PATHOLOGY (2012)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
Share Paper
