Histological breast cancer classification using CNN and MLP based ensembles-Reference-Cited by-同舟云学术

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Histological breast cancer classification using CNN and MLP based ensembles

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)
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Author:

Zerouaoui Hasnae¹,Idri Ali¹,El Alaoui Omar²

Affiliation:

1. Mohammed VI Polytechnic University in Benguerir,Modeling, Simulation and Data Analysis,Morocco

2. Mohammed V University in Rabat,Software Project Management Research Team, ENSIAS,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10017434/10017304/10017667.pdf?arnumber=10017667

Reference33 articles.

1. ImageNet Large Scale Visual Recognition Challenge

2. Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

3. Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles

4. Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module

5. On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning

Cited by 1 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. Revolutionizing Breast Cancer Diagnosis: Insights from KNN and SVM Models in Machine Learning;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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