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Multi-View Probabilistic Classification of Breast Microcalcifications

https://doi.org/10.1109/tmi.2015.2488019
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What this work says

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

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Usefulness of Texture Analysis for Computerized Classification of Breast Lesions on Mammograms
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An evaluation of image descriptors combined with clinical data for breast cancer diagnosis
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Computer-Aided Mass Detection Based on Ipsilateral Multiview Mammograms
inferredcites →https://doi.org/10.1016/j.artmed.2004.10.001openalex-snapshot
Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines
inferredcites →https://doi.org/10.1016/j.bspc.2010.10.003openalex-snapshot
Directional features for automatic tumor classification of mammogram images
inferredcites →https://doi.org/10.1016/j.compbiomed.2010.02.002openalex-snapshot
A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram
inferredcites →https://doi.org/10.1016/j.media.2012.01.003openalex-snapshot
A probabilistic framework for image information fusion with an application to mammographic analysis
inferredcites →https://doi.org/10.1016/j.patcog.2003.03.001openalex-snapshot
Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in mammograms
inferredcites →https://doi.org/10.1016/j.patcog.2008.08.028openalex-snapshot
Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis
inferredcites →https://doi.org/10.1016/s0146-664x(75)80008-6openalex-snapshot
Texture analysis using gray level run lengths
inferredcites →https://doi.org/10.1088/0031-9155/54/5/003openalex-snapshot
Improved mammographic CAD performance using multi-view information: a Bayesian network framework
inferredcites →https://doi.org/10.1088/0957-0233/22/11/114005openalex-snapshot
A comparative study of image features for classification of breast microcalcifications
inferredcites →https://doi.org/10.1109/83.725367openalex-snapshot
Texture information in run-length matrices
inferredcites →https://doi.org/10.1109/icmlc.2008.4620927openalex-snapshot
Rotation invariant texture classification algorithm based on Curvelet transform and SVM
inferredcites →https://doi.org/10.1109/iembs.2006.259320openalex-snapshot
SVM Based System for classification of Microcalcifications in Digital Mammograms
inferredcites →https://doi.org/10.1109/tbme.2014.2365494openalex-snapshot
Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval
inferredcites →https://doi.org/10.1109/tmi.2011.2105886openalex-snapshot
Optimizing Case-Based Detection Performance in a Multiview CAD System for Mammography
inferredcites →https://doi.org/10.1109/tsmc.1973.4309314openalex-snapshot
Textural Features for Image Classification
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1117/12.431100openalex-snapshot
Shape-based and texture-based feature extraction for classification of microcalcifications in mammograms
inferredcites →https://doi.org/10.1117/12.480869openalex-snapshot
Computer-aided classification of breast microcalcification clusters: merging of features from image processing and radiologists
inferredcites →https://doi.org/10.1118/1.2751075openalex-snapshot
Information‐theoretic CAD system in mammography: Entropy‐based indexing for computational efficiency and robust performance
inferredcites →https://doi.org/10.1118/1.2795826openalex-snapshot
Optimization of reference library used in content‐based medical image retrieval scheme
inferredcites →https://doi.org/10.1118/1.3121511openalex-snapshot
CADx of mammographic masses and clustered microcalcifications: A review
inferredcites →https://doi.org/10.1137/05064182xopenalex-snapshot
Fast Discrete Curvelet Transforms
inferredcites →https://doi.org/10.1148/radiology.143.1.7063747openalex-snapshot
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
inferredcites →https://doi.org/10.1162/153244303322753616openalex-snapshot
10.1162/153244303322753616
inferredcites →https://doi.org/10.1259/bjr/30415751openalex-snapshot
Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis
inferredcites →https://doi.org/10.1364/josaa.2.001160openalex-snapshot
Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters
inferredcites →https://doi.org/10.2214/ajr.158.3.1310825openalex-snapshot
The positive predictive value of mammography.
inferredcites →https://doi.org/10.3844/ajeassp.2013.57.68openalex-snapshot
A ROBUST APPROACH TO CLASSIFY MICROCALCIFICATION IN DIGITAL MAMMOGRAMS USING CONTOURLET TRANSFORM AND SUPPORT VECTOR MACHINE

What points at this work

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

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Tensor-Based Multi-View Spectral Clustering Via Shared Latent Space
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Tensor Learning in Multi-view Kernel PCA
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Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers
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Convolutional Redistribution Network for Multi-view Medical Image Diagnosis
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Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair
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Curvelet-Based Classification of Brain MRI Images
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Consistent and Specific Multi-view Relative-Transform Classification
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Detection of Microcalcifications in Mammograms Using Edge Detection Operators and Clustering Algorithms
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IBMvSVM: An instance-based multi-view SVM algorithm for classification
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RETRACTED ARTICLE: Detection and classification of mammogram using ResNet-50
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Survey on Multi-Source Medical Imaging Fusion for Classification and Retrieval: Current Status and Available Datasets
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Multiview decision tree-based segmentation of tumors in MR brain medical images
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Microcalcification morphological descriptors and parenchyma fractal dimension hierarchically interact in breast cancer: A diagnostic perspective
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Computer-aided breast cancer detection and classification in mammography: A comprehensive review
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Multi-View Kernel Spectral Clustering
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Multi-view information fusion in mammograms: A comprehensive overview
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Subspace segmentation-based robust multiple kernel clustering
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Tensor-based multi-view spectral clustering via shared latent space
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A survey on multi-view fusion for predicting links in biomedical bipartite networks: Methods and applications
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MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
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Multi-View Least Squares Support Vector Machines Classification
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A mixture of views network with applications to multi-view medical imaging
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SAR Performance of Rectangular Microstrip Antenna for Breast Cancer Hyperthermia Treatment with Different Period of Treatment Procedure
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An Automated Breast Micro-Calcification Detection and Classification Technique Using Temporal Subtraction of Mammograms
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Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting
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Training a neural network based on unreliable human annotation of medical images
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A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications
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Stationary Wavelet Based Energy Feature Extraction for Detection and Classification of Mammographic Microcalcifications
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