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Highly reliable breast cancer diagnosis with cascaded ensemble classifiers

https://doi.org/10.1109/ijcnn.2012.6252547
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1097-0339(199806)18:6<462::aid-dc16>3.0.co;2-fopenalex-snapshot
Role of fine-needle aspiration biopsy in breast lesions: Analysis of a series of 4,110 cases
inferredcites →https://doi.org/10.1002/0471660264openalex-snapshot
Combining Pattern Classifiers
inferredcites →https://doi.org/10.1002/cjs.5550340410openalex-snapshot
Classification with reject option
inferredcites →https://doi.org/10.1007/1-4020-3432-6openalex-snapshot
Biological and Artificial Intelligence Environments
inferredcites →https://doi.org/10.1007/3-540-45665-1_6openalex-snapshot
Support Vector Machines with Embedded Reject Option
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_5195openalex-snapshot
Pattern Classification
inferredcites →https://doi.org/10.1007/978-1-4471-0409-4_3openalex-snapshot
Pattern Classification
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/bf00058655openalex-snapshot
Bagging predictors
inferredcites →https://doi.org/10.1007/s00268-005-0585-9openalex-snapshot
Spectrum of Breast Cancer in Asian Women
inferredcites →https://doi.org/10.1016/j.cmpb.2003.07.001openalex-snapshot
A survey on histological image analysis-based assessment of three major biological factors influencing radiotherapy: proliferation, hypoxia and vasculature
inferredcites →https://doi.org/10.1016/j.patcog.2007.03.022openalex-snapshot
A novel cascade ensemble classifier system with a high recognition performance on handwritten digits
inferredcites →https://doi.org/10.1016/j.patrec.2008.03.010openalex-snapshot
Growing a multi-class classifier with a reject option
inferredcites →https://doi.org/10.1016/j.patrec.2008.04.013openalex-snapshot
WND-CHARM: Multi-purpose image classification using compound image transforms
inferredcites →https://doi.org/10.1016/s1566-2535(02)00093-3openalex-snapshot
An experimental study on diversity for bagging and boosting with linear classifiers
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1023/a:1018054314350openalex-snapshot
Bagging Predictors
inferredcites →https://doi.org/10.1093/bioinformatics/btn349openalex-snapshot
Classification with reject option in gene expression data
inferredcites →https://doi.org/10.1093/jnci/djn305openalex-snapshot
Effects of Reproductive and Demographic Changes on Breast Cancer Incidence in China: A Modeling Analysis
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/34.709601openalex-snapshot
The random subspace method for constructing decision forests
inferredcites →https://doi.org/10.1109/icpr.1992.201729openalex-snapshot
Multistage pattern recognition with reject option
inferredcites →https://doi.org/10.1109/rbme.2009.2034865openalex-snapshot
Histopathological Image Analysis: A Review
inferredcites →https://doi.org/10.1109/tip.2010.2044957openalex-snapshot
A Completed Modeling of Local Binary Pattern Operator for Texture Classification
inferredcites →https://doi.org/10.1109/tit.1970.1054406openalex-snapshot
On optimum recognition error and reject tradeoff
inferredcites →https://doi.org/10.1109/tmi.2009.2037756openalex-snapshot
Random Subspace Ensembles for fMRI Classification
inferredcites →https://doi.org/10.1109/tpami.2002.1017617openalex-snapshot
Theoretical and experimental analysis of a two-stage system for classification
inferredcites →https://doi.org/10.1137/05064182xopenalex-snapshot
Fast Discrete Curvelet Transforms
inferredcites →https://doi.org/10.1198/tech.2005.s320openalex-snapshot
Combining Pattern Classifiers: Methods and Algorithms
inferredcites →https://doi.org/10.2174/157489310794072508openalex-snapshot
A Review of Ensemble Methods in Bioinformatics
inferredcites →https://doi.org/10.5589/m02-004openalex-snapshot
An analysis of co-occurrence texture statistics as a function of grey level quantization
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3973200openalex-extracted
Saliency-Based Deep Learning Framework for Histopathological Image Classification
inferred← citeshttps://doi.org/10.1007/978-981-10-7419-6_33openalex-snapshot
Performance Analysis of Breast Cancer Classification with Softmax Discriminant Classifier and Linear Discriminant Analysis
inferred← citeshttps://doi.org/10.1007/s11036-019-01383-8openalex-snapshot
Ensembled Population Rescaled Differential Evolution with Weighted Boosting for Early Breast Cancer Detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.10.011openalex-snapshot
Performance measures for classification systems with rejection
inferred← citeshttps://doi.org/10.1080/13682199.2017.1416737openalex-snapshot
Logarithmic distance measure with improved local vector pattern for content-based image retrieval
inferred← citeshttps://doi.org/10.1109/ascc.2015.7244654openalex-snapshot
Comparative studies on breast cancer classifications with k-fold cross validations using machine learning techniques
inferred← citeshttps://doi.org/10.1109/bsb.2018.8770684openalex-snapshot
Combating Breast Cancer by an Intelligent Ensemble Classifier Approach
inferred← citeshttps://doi.org/10.1527/tjsai.40-3_g-o99openalex-snapshot
An Evaluation Method for Machine Learning Based on Verification and Correction Costs
inferred← citeshttps://doi.org/10.18178/jolst.3.2.48-52openalex-snapshot
Application Research of Confidence Machine Based on the Biological Data
inferred← citeshttps://doi.org/10.2991/icmmcce-15.2015.77openalex-snapshot
Research on the Controllable Confidence Regression
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.427-429.2732openalex-snapshot
Analysis of the Confidence Mechanism Research in Machine Learning
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