Related references
Note: Only part of the references are listed.Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning
J. M. Bokhorst et al.
MODERN PATHOLOGY (2020)
Automated Analysis of Lymphocytic Infiltration, Tumor Budding, and Their Spatial Relationship Improves Prognostic Accuracy in Colorectal Cancer
Ines P. Nearchou et al.
CANCER IMMUNOLOGY RESEARCH (2019)
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
Simon Graham et al.
MEDICAL IMAGE ANALYSIS (2019)
A modular cGAN classification framework: Application to colorectal tumor detection
Thomas E. Tavolara et al.
SCIENTIFIC REPORTS (2019)
Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis
Nicolas Brieu et al.
SCIENTIFIC REPORTS (2019)
Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer: Results of a feasibility study
Rikke Karlin Jepsen et al.
PATHOLOGY RESEARCH AND PRACTICE (2018)
Automatic evaluation of tumor budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome
Cleo-Aron Weis et al.
DIAGNOSTIC PATHOLOGY (2018)
Recommendations for reporting tumor budding in colorectal cancer based on the International Tumor Budding Consensus Conference (ITBCC) 2016
Alessandro Lugli et al.
MODERN PATHOLOGY (2017)
Cytokeratin immunohistochemistry improves interobserver variability between unskilled pathologists in the evaluation of tumor budding in T1 colorectal cancer
Keita Kai et al.
PATHOLOGY INTERNATIONAL (2016)
Tumor budding in colorectal cancer revisited: results of a multicenter interobserver study
Viktor H. Koelzer et al.
VIRCHOWS ARCHIV (2015)
Perceptual clustering for automatic hotspot detection from Ki-67-stained neuroendocrine tumour images
M. Khalid Khan Niazi et al.
JOURNAL OF MICROSCOPY (2014)
Quantification of tumour budding, lymphatic vessel density and invasion through image analysis in colorectal cancer
Peter D. Caie et al.
JOURNAL OF TRANSLATIONAL MEDICINE (2014)
Parametric estimate of intensity inhomogeneities applied to MRI
M Styner et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2000)