Breast Cancer Classification Using Deep Neural Networks

Using Multilayer Perceptron and Deep Neural Networks for the Diagnosis of Breast Cancer Classification

NIPES Journal of Science and Technology Research ◽

10.37933/nipes/2.2.2020.3 ◽

2020 ◽

Vol 2 (2) ◽

pp. 23

Author(s):

Igodan C. Efosa ◽

Ukaoha Kingsley C

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Multilayer Perceptron ◽

Deep Neural Networks ◽

Cancer Classification ◽

Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61401-0_45 ◽

2020 ◽

pp. 491-502

Author(s):

Abdulrahman Aloyayri ◽

Adam Krzyżak

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Transfer Learning ◽

Deep Neural Networks ◽

Cancer Classification ◽

Histopathological Images

Using Multilayer Perceptron and Deep Neural Networks for the Diagnosis of Breast Cancer Classification

NIPES - Journal of Energy Technology and Environment ◽

10.37933/nipes.e/3.2.2021.3 ◽

2021 ◽

Vol 3 (2) ◽

pp. 20

Author(s):

Igodan C. Efosa ◽

Ukaoha Kingsley C.

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Multilayer Perceptron ◽

Deep Neural Networks ◽

Cancer Classification ◽

Using Multilayer Perceptron and Deep Neural Networks for the Diagnosis of Breast Cancer Classification

2019 IEEE AFRICON ◽

10.1109/africon46755.2019.9133873 ◽

2019 ◽

Author(s):

C. Efosa Igodan ◽

Kingsley C. Ukaoha

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Multilayer Perceptron ◽

Deep Neural Networks ◽

Cancer Classification ◽

Fine-Grained Breast Cancer Classification With Bilinear Convolutional Neural Networks (BCNNs)

Frontiers in Genetics ◽

10.3389/fgene.2020.547327 ◽

2020 ◽

Vol 11 ◽

Author(s):

Weihuang Liu ◽

Mario Juhas ◽

Yang Zhang

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Cancer Classification ◽

Fine Grained

Normalized Neural Networks for Breast Cancer Classification

IFMBE Proceedings - CMBEBIH 2019 ◽

10.1007/978-3-030-17971-7_77 ◽

2019 ◽

pp. 519-524 ◽

Cited By ~ 3

Author(s):

Emina Alickovic ◽

Abdulhamit Subasi

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Cancer Classification ◽

SPIKING NEURAL NETWORKS FOR BREAST CANCER CLASSIFICATION IN A DIELECTRICALLY HETEROGENEOUS BREAST

Progress In Electromagnetics Research ◽

10.2528/pier10122203 ◽

2011 ◽

Vol 113 ◽

pp. 413-428 ◽

Cited By ~ 15

Author(s):

Martin O'Halloran ◽

Brian McGinley ◽

Raquel Cruz Conceicao ◽

Fearghal Morgan ◽

Edward Jones ◽

...

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Cancer Classification ◽

Spiking Neural Networks ◽

SPIKING NEURAL NETWORKS FOR BREAST CANCER CLASSIFICATION USING RADAR TARGET SIGNATURES

Progress In Electromagnetics Research C ◽

10.2528/pierc10100202 ◽

2010 ◽

Vol 17 ◽

pp. 79-94 ◽

Cited By ~ 13

Author(s):

Brian McGinley ◽

Martin O'Halloran ◽

Raquel Cruz Conceicao ◽

Fearghal Morgan ◽

Martin Glavin ◽

...

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Cancer Classification ◽

Spiking Neural Networks ◽

Radar Target ◽

Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification

10.1117/12.431058 ◽

2001 ◽

Cited By ~ 1

Author(s):

Walker H. Land, Jr. ◽

Timothy D. Masters ◽

Joseph Y. Lo ◽

Dan McKee

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Cancer Classification ◽

Adaptive Boosting ◽

Feed Forward ◽

Malignant Breast ◽

Feed Forward Neural Networks

Neural Networks and Fuzzy Clustering Methods for Assessing the Efficacy of Microarray Based Intrinsic Gene Signatures in Breast Cancer Classification and the Character and Relations of Identified Subtypes

Methods in Molecular Biology - Artificial Neural Networks ◽

10.1007/978-1-4939-2239-0_18 ◽

2014 ◽

pp. 285-317

Author(s):

Sandhya Samarasinghe ◽

Amphun Chaiboonchoe

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Fuzzy Clustering ◽

Cancer Classification ◽

Clustering Methods ◽

Gene Signatures ◽

Intrinsic Gene ◽

Fuzzy Clustering Methods