Multi-scale feature fusion for histopathological image categorisation in breast cancer-Reference-Cited by-同舟云学术

Multi-scale feature fusion for histopathological image categorisation in breast cancer

Published:2023-07-03 Issue:6 Volume:11 Page:2350-2362
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Wang Yingping¹,Deng Xing¹,Shao Haijian¹²,Jiang Yingtao²

Affiliation:

1. School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China

2. Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, NV, USA

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2231551

Reference40 articles.

1. Albashish D, Al-Sayyed R, Abdullah A, Ryalat MH, Almansour NA. 2021. Deep CNN model based on VGG16 for breast cancer classification[C]//2021. International conference on information technology (ICIT); Amman, Jordan: IEEE. p. 805–810.

2. Bayramoglu N, Kannala J, Heikkilä J. 2016. Deep learning for magnification independent breast cancer histopathology image classification[C]//2016. 23rd International conference on pattern recognition (ICPR); Cancun, Mexico: IEEE. p. 2440–2445.

3. Belsare AD, Mushrif MM, Pangarkar MA. 2015. Classification of breast cancer histopathology images using texture feature analysis[C]//Tencon 2015-2015 IEEE Region 10 Conference; Macao, China: IEEE. p. 1–5.

4. State-of-the-art review on deep learning in medical imaging

5. De Matos J, Britto AS, Oliveira LES, Koerich, AL. 2019. Double transfer learning for breast cancer histopathologic image classification[C]//2019 international joint conference on neural networks (IJCNN), Budapest, Hungary. IEEE. p. 1–8.

Cited by 4 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. Deep learning and multiscale analysis for epithelial-mesenchyme segmentation and classification in breast cancer histological images;Signal, Image and Video Processing;2024-08-07

2. Automated Identification of Breast Cancer Type Using Novel Multipath Transfer Learning and Ensemble of Classifier;IEEE Access;2024

3. ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization;IEEE Access;2024

4. A Novel Attention-based Explainable Deep Learning Framework Towards Medical Image Classification;2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS);2023-11-23