A Survey of Convolutional Neural Network in Breast Cancer-Reference-Cited by-同舟云学术

A Survey of Convolutional Neural Network in Breast Cancer

Published:2023 Issue:3 Volume:136 Page:2127-2172
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Zhu Ziquan,Wang Shui-Hua,Zhang Yu-Dong

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v136n3/51805/pdf

Reference202 articles.

1. The ever-increasing importance of cancer as a leading cause of premature death worldwide;Bray;Cancer,2021

2. An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and convolutional neural network (CNN);Desai;Clinical eHealth,2021

3. Preprocessing of breast cancer images to create datasets for deep-CNN;Beeravolu;IEEE Access,2021

4. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA: A Cancer Journal for Clinicians,2021

5. Multi-class classification of breast cancer abnormalities using deep convolutional neural network (CNN);Heenaye-Mamode Khan;PLoS One,2021

Cited by 16 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. A Comparative Study of Deep Learning in Breast Ultrasound Lesion Detection: From Two-Stage to One-Stage, from Anchor-Based to Anchor-Free;AI Medicine;2024-09-04

2. Advancements in Breast Cancer Diagnosis: A Comprehensive Review of Mammography Datasets, Preprocessing and Classification Techniques;Acta Informatica Pragensia;2024-08-04

3. GAN-Augmented Breast Cancer Classification with Histogram-Based Gradient Boosting;2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2024-05-23

4. A survey of artificial intelligence-assisted analysis of breast ultrasoundimages classification: Research progress and future directions;Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition;2024-04-26

5. SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis;Mobile Networks and Applications;2024-01-13