References
- "Breast Cancer." World Health Organization. World Health Organization. Accessed April 24, 2021. https://www.who.int/news-room/factsheets/detail/breast-cancer.
- Boyle, Peter, and Bernard Levin. World cancer report 2008. IARC Press, International Agency for Research on Cancer, 2008.
- Jaglan, Poonam, Rajeshwar Dass, and Manoj Duhan. "Breast cancer detection techniques: issues and challenges." Journal of The Institution of Engineers (India): Series B 100, no. 4 (2019): 379-386. https://doi.org/10.1007/s40031-019-00391-2
- Iranmakani, Sepideh, Tohid Mortezazadeh, Fakhrossadat Sajadian, Mona Fazel Ghaziani, Ali Ghafari, Davood Khezerloo, and Ahmed Eleojo Musa. "A review of various modalities in breast imaging: technical aspects and clinical outcomes." Egyptian Journal of Radiology and Nuclear Medicine 51 (2020): 1-22. https://doi.org/10.1186/s43055-019-0116-6
- Rawat, Waseem, and Zenghui Wang. "Deep convolutional neural networks for image classification: A comprehensive review." Neural computation 29, no. 9 (2017): 2352-2449. https://doi.org/10.1162/neco_a_00990
- Sarvamangala, D. R., and Raghavendra V. Kulkarni. "Convolutional neural networks in medical image understanding: a survey." Evolutionary intelligence (2021): 1-22.
- Nguyen, Phu T., Tuan T. Nguyen, Ngoc C. Nguyen, and Thuong T. Le. "Multiclass breast cancer classification using convolutional neural network." In 2019 International symposium on electrical and electronics engineering (ISEE), pp. 130-134. IEEE, 2019.
- Araujo, Teresa, Guilherme Aresta, Eduardo Castro, Jose Rouco, Paulo Aguiar, Catarina Eloy, Antonio Polonia, and Aurelio Campilho. "Classification of breast cancer histology images using convolutional neural networks." PloS one 12, no. 6 (2017): e0177544. https://doi.org/10.1371/journal.pone.0177544
- Rakhlin, Alexander, Alexey Shvets, Vladimir Iglovikov, and Alexandr A. Kalinin. "Deep convolutional neural networks for breast cancer histology image analysis." In international conference image analysis and recognition, pp. 737-744. Springer, Cham, 2018.
- Iesmantas T, Alzbutas R. Convolutional capsule network for classification of breast cancer histology images. InInternational Conference Image Analysis and Recognition 2018 Jun 27 (pp. 853-860). Springer, Cham.
- Spanhol, Fabio Alexandre, Luiz S. Oliveira, Caroline Petitjean, and Laurent Heutte. "Breast cancer histopathological image classification using convolutional neural networks." In 2016 international joint conference on neural networks (IJCNN), pp. 2560-2567. IEEE, 2016.
- Bardou, Dalal, Kun Zhang, and Sayed Mohammad Ahmad. "Classification of breast cancer based on histology images using convolutional neural networks." Ieee Access 6 (2018): 24680-24693. https://doi.org/10.1109/ACCESS.2018.2831280
- Spanhol, Fabio A., Luiz S. Oliveira, Caroline Petitjean, and Laurent Heutte. "A dataset for breast cancer histopathological image classification." Ieee transactions on biomedical engineering 63, no. 7 (2015): 1455-1462. https://doi.org/10.1109/TBME.2015.2496264
- Junqueira, Luis C., and Anthony L. Mescher. "Junqueira's basic histology: text & atlas/Anthony L. Mescher." (2013).
- Battiti, Roberto. "First-and second-order methods for learning: between steepest descent and Newton's method." Neural computation 4, no. 2 (1992): 141-166. https://doi.org/10.1162/neco.1992.4.2.141
- Hossain, Md, Md Rahman, Uzzal Kumar Prodhan, and Md Khan. "Implementation of back-propagation neural network for isolated Bangla speech recognition." arXiv preprint arXiv:1308.3785 (2013).
- Hu, Yuzheng, Licong Lin, and Shange Tang. "Second-order Information in First-order Optimization Methods." arXiv preprint arXiv:1912.09926 (2019).
- Meza, Juan C. "Steepest descent." Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 6 (2010): 719-722. https://doi.org/10.1002/wics.117
- Tan, Hong Hui, and King Hann Lim. "Review of second-order optimization techniques in artificial neural networks backpropagation." In IOP Conference Series: Materials Science and Engineering, vol. 495, no. 1, p. 012003. IOP Publishing, 2019.
- Goh, Anthony TC. "Back-propagation neural networks for modeling complex systems." Artificial Intelligence in Engineering 9, no. 3 (1995): 143-151. https://doi.org/10.1016/0954-1810(94)00011-S
- Hoi, Steven CH, Doyen Sahoo, Jing Lu, and Peilin Zhao. "Online learning: A comprehensive survey." arXiv preprint arXiv:1802.02871 (2018).
- Ranganathan, Ananth. "The levenberg-marquardt algorithm." Tutoral on LM algorithm 11, no. 1 (2004): 101-110.
- Zhang, Guodong, Chaoqi Wang, Bowen Xu, and Roger Grosse. "Three mechanisms of weight decay regularization." arXiv preprint arXiv:1810.12281 (2018).
- Paperswithcode.com. 2021. Papers with Code - Weight Decay Explained. [online] Available at: https://paperswithcode.com/method/weight-decay [Accessed 24 April 2021].
- Mahsereci, Maren, Lukas Balles, Christoph Lassner, and Philipp Hennig. "Early stopping without a validation set." arXiv preprint arXiv:1703.09580 (2017).
- LaptrinhX. 2021. A Practical Introduction to Early Stopping in Machine Learning. [online] Available at: https://laptrinhx.com/a-practical-introduction-to-earlystopping-in-machine-learning-2456645136 [Accessed 24 April 2021].
- Medium. 2021. Convolutional Neural Network for Breast Cancer Classification. [online] Available at: https://towardsdatascience.com/convolutional-neuralnetwork-for-breast-cancer-classification-52f1213dcc9 [Accessed 24 April 2021].
- Chollet F. keras.
- TensorFlow. 2021. TensorFlow. [online] Available at: https://www.tensorflow.org [Accessed 24 April 2021].