Falzon, D., et al. "WHO guidelines for the programmatic management of drug-resistant tuberculosis: 2011 update." (2011): 516–528.

Smith, Robert A., et al. "Cancer screening in the United States, 2016: A review of current American Cancer Society guidelines and current issues in cancer screening." CA: a cancer journal for clinicians 66.2 (2016): 95–114.

Sheth, Deepa, and Maryellen L. Giger. "Artificial intelligence in the interpretation of breast cancer on MRI." Journal of Magnetic Resonance Imaging 51.5 (2020): 1310-1324.

Article  PubMed  Google Scholar 

Mohammadzadeh, Ghorban, et al. "Association of serum soluble leptin receptor and leptin levels with breast cancer." Journal of Research in Medical Sciences: The Official Journal of Isfahan University of Medical Sciences 19.5 (2014): 433.

Aresta, Guilherme, et al. "Bach: Grand challenge on breast cancer histology images." Medical image analysis 56 (2019): 122–139.

Sharma, Shallu, and Sumit Kumar. "The Xception model: A potential feature extractor in breast cancer histology images classification." ICT Express 8.1 (2022): 101-108.

Article  Google Scholar 

Yan, Rui, et al. "Breast cancer histopathological image classification using a hybrid deep neural network." Methods 173 (2020): 52–60.

Senousy, Zakaria, et al. "MCUa: Multi-level context and uncertainty aware dynamic deep ensemble for breast cancer histology image classification." IEEE Transactions on Biomedical Engineering 69.2 (2021): 818–829.

Ahmad, Nouman, Sohail Asghar, and Saira Andleeb Gillani. "Transfer learning-assisted multi-resolution breast cancer histopathological images classification." The Visual Computer 38.8 (2022): 2751–2770.

Hirra, Irum, et al. "Breast cancer classification from histopathological images using patch-based deep learning modeling." IEEE Access 9 (2021): 24273–24287.

Hu, Chuhan, et al. "Classification of breast cancer histopathological image with deep residual learning." International Journal of Imaging Systems and Technology 31.3 (2021): 1583–1594.

Hameed, Zabit, et al. "Breast cancer histopathology image classification using an ensemble of deep learning models." Sensors 20.16 (2020): 4373.

Wang, Yongjun, et al. "Breast cancer image classification via multi-network features and dual-network orthogonal low-rank learning." IEEE Access 8 (2020): 27779–27792.

Dubey, Shiv Ram, Satish Kumar Singh, and Bidyut Baran Chaudhuri. "Activation functions in deep learning: A comprehensive survey and benchmark." Neurocomputing (2022).

Shamrat, FM Javed Mehedi, et al. "A deep learning approach for face detection using max pooling." 2021 5th international conference on trends in electronics and informatics (ICOEI). IEEE, 2021.

Spanhol, Fabio A., et al. "A dataset for breast cancer histopathological image classification." Ieee transactions on biomedical engineering 63.7 (2015): 1455–1462.

Amrane, Meriem, et al. "Breast cancer classification using machine learning." 2018 electric electronics, computer science, biomedical engineerings' meeting (EBBT). IEEE, 2018.

Uddin, Shahadat, et al. "Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction." Scientific Reports 12.1 (2022): 1–11.

Chen, Yushi, et al. "Deep learning ensemble for hyperspectral image classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12.6 (2019): 1882–1897.

Huang, Shujun, et al. "Applications of support vector machine (SVM) learning in cancer genomics." Cancer genomics & proteomics 15.1 (2018): 41–51.

Bazazeh, Dana, and Raed Shubair. "Comparative study of machine learning algorithms for breast cancer detection and diagnosis." 2016 5th international conference on electronic devices, systems and applications (ICEDSA). IEEE, 2016.

Zou, Ying, et al. "Breast cancer histopathological image classification using attention high‐order deep network." International Journal of Imaging Systems and Technology 32.1 (2022): 266–279.

Fu, Bo, et al. "Predicting invasive disease-free survival for early stage breast cancer patients using follow-up clinical data." IEEE Transactions on Biomedical Engineering 66.7 (2018): 2053–2064.

Sharma, Shubham, Archit Aggarwal, and Tanupriya Choudhury. "Breast cancer detection using machine learning algorithms." 2018 International conference on computational techniques, electronics and mechanical systems (CTEMS). IEEE, 2018.

Wang, Zhiqiong, et al. "Breast cancer detection using extreme learning machine based on feature fusion with CNN deep features." IEEE Access 7 (2019): 105146–105158.

Jumaat, Abdul Kadir, et al. "Segmentation and characterization of masses in breast ultrasound images using active contour." 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 2011.

Wu, Wen-Jie, Shih-Wei Lin, and Woo Kyung Moon. "Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images." Computerized Medical Imaging and Graphics 36.8 (2012): 627–633.

Zhou, Shichong, et al. "Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image." Biomedical Signal Processing and Control 8.6 (2013): 688–696.

Uniyal, Nishant, et al. "Ultrasound RF time series for classification of breast lesions." IEEE transactions on medical imaging 34.2 (2014): 652–661.

Sellami, Lamia, O. Ben Sassi, and A. Ben Hamida. "Breast cancer ultrasound images' sequence exploration using BI-RADS features' extraction: towards an advanced clinical aided tool for precise lesion characterization." IEEE transactions on nanobioscience 14.7 (2015): 740–745.

Srikantamurthy, M. M., Rallabandi, V. S., Dudekula, D. B., Natarajan, S., & Park, J. (2023). Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning. BMC Medical Imaging, 23(1), 19.

Article  PubMed  PubMed Central  Google Scholar 

Hou, Y. (2020). Breast cancer pathological image classification based on deep learning. Journal of X-ray science and technology, 28(4), 727-738.

Article  PubMed  Google Scholar 

Aldhyani, T. H., Nair, R., Alzain, E., Alkahtani, H., & Koundal, D. (2022). Deep Learning Model for the Detection of Real Time Breast Cancer Images Using Improved Dilation-Based Method. Diagnostics, 12(10), 2505.

Article  PubMed  PubMed Central  Google Scholar