Cancer is one of the most difficult human diseases to cure. Cancer is hard to diagnose and treat. The root cause of cancer is still unknown to medical science. This makes it really challenging for doctors and patients. There is a lot of research going
on about cancer using machine learning. Data scientists believe that machine learning can help diagnose cancer faster. There are many algorithms that are focused on healthcare and diagnosis. Some of these are also contributed to open source projects.
This is a list of various resources available on the web that can help anyone quick start and know about research related to Cancer diagnosis and cure.
Machine Learning Algorithms: For Cancer Diagnosis
- Machine Learning Algorithms for Cancer Diagnosis
- Survey of Machine Learning Algorithms for Disease Diagnostic
- Machine Learning with Applications in Breast Cancer Diagnosis and Prognosis
- Breast cancer diagnosis using machine learning algorithms – A survey
- Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis
- choosing best machine learning algorithm for breast cancer prediction
- On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
- An introduction to ROC analysis
Machine Learning Algorithms: For Cancer Cure
Machine Learning Algorithms: For Cancer Classification
- machine learning based approaches for cancer classification using gene expression data
- data mining classification techniques applied to breast cancer diagnosis and prognosis
- Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims Data
- Gene selection from microarray data for cancer classification — a machine learning approach
- cancer classification using single genes
Other Useful Research and Resource on Machine Learning and Cancer
- Introduction to Machine Learning in Healthcare
- Machine learning applications in cancer prognosis and prediction
- Machine Learning in cancer research: implications for personalized medicine
- Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review
- Machine Learning for Human Cancer Research
- Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls | Scientific Reports
- V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- Generalized Dice overlap as a deep learning loss function for highly unbalanced segmentations
- On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
- Breast imaging: A survey
- All Cancer Related Research Papers on arxiv
Summary
This is just a small list with my quick research on the web. I am sure you will find plenty of other resources on the web and other places. Feel free to share and explore.
