Artificial Intelligence is empowering modern medical science to help treat critical ailments. Incorporating AI into breast cancer screening allows radiologists to detect cancer more accurately while dramatically reducing their workloads. Using this application you can do early stage detection for breast cancer and help in identifying it as malignant(cancerous) or benign(non-cancerous). You can build predictive analytic based applications with this ready to deploy template application. Fully modifiable source code is provided to enable you to modify for your requirements.
Complete this Virtual Lab in 3 easy steps to earn your certificate!
STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment and submit screenshots of your working model to receive your certificate.
NOTE: Your start date is the date you enrolled for this course. You have 90 days from your enrollment date to complete the course.
STEP 1 : TUTORIAL
Watch this self-guided tutorial on how you can use Dataset to train the model, Exploratory Data Analysis, and Vector Classification to build your own AI Powered Breast Cancer Detection Engine.
STEP 2 : PRACTICAL EXERCISE
Click the below button to access the breast cancer detector kandi kit. This kit has all the required dependencies and resources you need to build your application.
Click on the 1-Click Installer button on the kandi kit page to install the breast cancer detector kit. On installing and running this kit, you will have a working model that you can customize and use in your project.
After completing this step, proceed to STEP 3.
STEP 3 : ASSESSMENT
Your assessment will be reviewed and you will receive a verified certificate via email within a week.
Reach out to us by replying below for any help you may need with this course.
We hope you enjoyed using kandi!