A Systematic Approach to Machine Learning for Cancer Classification
Author:
Affiliation:
1. Chitkara University,Chitkara University Institute of Engineering and Technology,Rajpura,Punjab,India
2. Chandigarh University,Mohali,Punjab
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10072015/10072297/10072474.pdf?arnumber=10072474
Reference22 articles.
1. Artificial Intelligence-based Blockchain Technology for Skin Cancer Investigation Complemented with Dietary Assessment and Recommendation using Correlation Analysis in Elder Individuals
2. Breast Tumor Classification Using an Ensemble Machine Learning Method
3. Cervical cancer classification using convolutional neural networks and extreme learning machines
4. IoT Based Disease Prediction Using Mapreduce and LSQN3 Techniques
5. Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges
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1. Detailed Investigation of the use of Text Mining and Natural Language Processing (NLPs) for Cancer Detection;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23
2. Pituitary Gland Size Estimation and Lesion Detection using Segmentation-based Color Thresholding Technique;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14
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