Erika R. E. Denton - researchr alias

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Viewing Publication 1 - 50 from 50

2020

Breast ultrasound region of interest detection and lesion localisationMoi Hoon Yap, Manu Goyal, Fatima Osman, Robert Martí, Erika R. E. Denton, Arne Juette, Reyer Zwiggelaar. artmed, 107:101880, 2020. [doi]

2019

Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based ClassifierNashid Alam, Erika R. E. Denton, Reyer Zwiggelaar. jimaging, 5(9):76, 2019. [doi]

2018

Automatic Segmentation of Microcalcification ClustersNashid Alam, Arnau Oliver, Erika R. E. Denton, Reyer Zwiggelaar. miua 2018: 251-261 [doi]

Topological Connected Chain Modelling for Classification of Mammographic MicrocalcificationMinu George, Erika R. E. Denton, Reyer Zwiggelaar. tpcg 2018: 1-5 [doi]

Mammogram breast density classification using mean-elliptical local binary patternsMinu George, Erika R. E. Denton, Reyer Zwiggelaar. iwbi 2018: [doi]

Comparing the performance of various deep networks for binary classification of breast tumoursAzam Hamidinekoo, Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar. iwbi 2018: 1071807 [doi]

Deep learning in mammography and breast histology, an overview and future trendsAzam Hamidinekoo, Erika R. E. Denton, Andrik Rampun, Kate Honnor, Reyer Zwiggelaar. mia, 47:45-67, 2018. [doi]

Multi-scale morphological feature extraction for the classification of micro-calcificationsZobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar. iwbi 2018: 1071812 [doi]

Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encodingZobia Suhail, Arif Mahmood, Erika R. E. Denton, Reyer Zwiggelaar. iwbi 2018: [doi]

Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysisZobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar. mbec, 56(8):1475-1485, 2018. [doi]

Tree-based modelling for the classification of mammographic benign and malignant micro-calcification clustersZobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar. mta, 77(5):6135-6148, 2018. [doi]

End-to-end breast ultrasound lesions recognition with a deep learning approachMoi Hoon Yap, Manu Goyal, Fatima Osman, Ezak Ahmad, Robert Martí, Erika R. E. Denton, Arne Juette, Reyer Zwiggelaar. mibam 2018: 1057819 [doi]

2017

A Texton-Based Approach for the Classification of Benign and Malignant Masses in MammogramsZobia Suhail, Azam Hamidinekoo, Erika R. E. Denton, Reyer Zwiggelaar. miua 2017: 355-364 [doi]

2016

2015

Topological Modeling and Classification of Mammographic Microcalcification ClustersZhili Chen, Harry Strange, Arnau Oliver, Erika R. E. Denton, Caroline R. M. Boggis, Reyer Zwiggelaar. tbe, 62(4):1203-1214, 2015. [doi]

Breast image pre-processing for mammographic tissue segmentationWenda He, Peter Hogg, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar. cbm, 67:61-73, 2015. [doi]

2014

Analysis of Mammographic Microcalcification Clusters Using Topological FeaturesZhili Chen, Harry Strange, Erika R. E. Denton, Reyer Zwiggelaar. mammo 2014: 620-627 [doi]

A Revisit on Correlation between Tabár and Birads Based Risk Assessment Schemes with Full Field Digital MammographyWenda He, Minnie Kibiro, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar. mammo 2014: 327-333 [doi]

A Novel Breast Image Preprocessing For Full Field Digital Mammographic Segmentation and Risk ClassificationWenda He, Minnie Kibiro, Arne Juette, Peter Hogg, Erika R. E. Denton, Reyer Zwiggelaar. miua 2014: 79-84

A Study on Mammographic Image Modelling and Classification Using Multiple DatabasesWenda He, Erika R. E. Denton, Reyer Zwiggelaar. mammo 2014: 696-701 [doi]

A Novel Image Enhancement Methodology for Full Field Digital MammographyWenda He, Minnie Kibiro, Arne Juette, Erika R. E. Denton, Peter Hogg, Reyer Zwiggelaar. mammo 2014: 650-657 [doi]

Modelling mammographic microcalcification clusters using persistent mereotopologyHarry Strange, Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar. prl, 47:157-163, 2014. [doi]

2013

2012

Topographic representation based breast density segmentation for mammographic risk assessmentZhili Chen, Erika R. E. Denton, Reyer Zwiggelaar. icip 2012: 1993-1996 [doi]

Classification of Microcalcification Clusters Based on Morphological Topology AnalysisZhili Chen, Erika R. E. Denton, Reyer Zwiggelaar. mammo 2012: 521-528 [doi]

Mammographic Segmentation and Risk Classification Using a Novel Binary Model Based Bayes ClassifierWenda He, Erika R. E. Denton, Reyer Zwiggelaar. mammo 2012: 40-47 [doi]

2011

Modelling Breast Tissue in Mammograms for Mammographic Risk AssessmentZhili Chen, Erika R. E. Denton, Reyer Zwiggelaar. miua 2011: 37-42

Local feature based mammographic tissue pattern modelling and breast density classificationZhili Chen, Erika R. E. Denton, Reyer Zwiggelaar. bmei 2011: 351-355 [doi]

Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric momentsWenda He, Erika R. E. Denton, Kirsten Stafford, Reyer Zwiggelaar. bspc, 6(3):321-329, 2011. [doi]

2010

2008

2007

Risk Classification of Mammograms Using Anatomical Linear Structure and Density InformationEdward M. Hadley, Erika R. E. Denton, Josep Pont, Elsa Pérez, Reyer Zwiggelaar. ibpria 2007: 186-193 [doi]

2006

2004

Two-Dimensional-Three-Dimensional Correspondence in MammographyRobert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, Erika R. E. Denton. cas, 35(1):85-105, 2004. [doi]

2003

Set-Permutation-Occurrence Matrix Based Texture SegmentationReyer Zwiggelaar, Lilian Blot, David Raba, Erika R. E. Denton. ibpria 2003: 1099-1107 [doi]

2000

Voxel Similarity Measures for 3D Serial MR Brain Image RegistrationMark Holden, Derek L. G. Hill, Erika R. E. Denton, Jo M. Jarosz, Tim C. S. Cox, Torsten Rohlfing, Joanne Goodey, David J. Hawkes. tmi, 19(2):94-102, 2000.

1999

Voxel Similarity Measures for 3D Serial MR Brain Image RegistrationMark Holden, Derek L. G. Hill, Erika R. E. Denton, Jo M. Jarosz, Tim C. S. Cox, David J. Hawkes. ipmi 1999: 472-477 [doi]

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