Breast Cancer AI is an open source research project into using Artificial Intelligence (Deep Learning) to detect various forms of breast cancer by applying different methods and techniques of Artificial Intelligence.
Through the use of convolutional neural networks we can detect cancerous and non cancerous samples with fairly high accuracy. For a technical guide to the core of the project, check out the project article on Intel AI Academy Documentation: Machine Learning and Mammography
The purpose of the project is to share public information related to various forms of breast cancer, as well as open source projects including dectection with convolutional neural networks, using natural language understanding for breast cancer related chatbots, and R&D for discovering potential candidates for drugs.
"Breast cancer is an ongoing concern and one of the most common forms of cancer in women. In 2018 there is expected to be an estimated 266,120 new diagnoses in the United States alone."
"The use of Artificial Intelligence can drastically reduce the need for medical staff to examine mammography slides manually, saving not only time, but money, and ultimately lives."
The IDC Classifier project was demonstrated/introduced at Intel AI DevJam & the Intel booth @ ICML (International Conference on Machine Learning) in Sweden in July 2018. Below you will find some photos from the event. You can find more info / photos and videos on the event page on the iotJumpWay social network.
beTed: IDC Classifier Demo @ BigFinte Barcelona
Breast Cancer AI creator Adam Milton-Barker talked about the IDC Classifier project and gave a live demonstration at beTed at Bigfinite. DISCLAIMER: This a personal talk presented to work collegues at beTed, a Bigfinite Initiative to give voice to in-house talent. https://www.bigfinite.comPosted by Breast Cancer AI Research Project on Wednesday, August 8, 2018