A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence-Reference-Cited by-同舟云学术

A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence

Published:2012-08-09 Issue:3 Volume:30 Page:243-254
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Belciug Smaranda¹,Gorunescu Florin²

Affiliation:

1. Department of Computer Science; Faculty of Mathematics and Computer Science; University of Craiova; 13 A.I. Cuza; 200585; Craiova; Romania

2. Department of Mathematics; Biostatistics and Computer Science; University of Medicine and Pharmacy of Craiova; 2-4 Petru Rares; 200349; Craiova; Romania

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1468-0394.2012.00635.x/fullpdf

Reference41 articles.

1. CSLS: connectionist symbolic learning system;Aksoy;Mathematical and Computational Applications,2009

2. A partially connected neural network-based approach with application to breast cancer detection and recurrence

3. Application of artificial neural network-based survival analysis on two breast cancer datasets;Chi;AMIA Annual Symposium Proceedings,2007

4. Memetic evolutionary training for recurrent neural networks: an application to time-series prediction;Delgado;Expert Systems,2006

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection;Entropy;2023-07-04

2. Enhancement and diagnosis of breast cancer in mammography images using histogram equalization and genetic algorithm;Multidimensional Systems and Signal Processing;2023-05-21

3. Empirical Study of Overfitting in Deep Learning for Predicting Breast Cancer Metastasis;Cancers;2023-03-25

4. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data;Journal of Clinical Medicine;2022-09-29

5. Study on the ANN Forecasting of Epidemical Diseases;Materials Horizons: From Nature to Nanomaterials;2022