Convolutional Neural Networks for Medical Images Diagnosis

Convolutional Neural Networks for Medical Images Diagnosis

This course was designed and prepared to be a practical CNN-based medical diagnosis application. It focuses on understanding by examples how CNN layers are working, how to train and evaluate CNN, how to improve CNN performances, how to visualize CNN layers, and how to deploy the final trained CNN model.

All the development tools and materials required for this course are FREE. Besides that, all implemented Python codes are attached with this course.

CNN, Deep Learning, Medical Imaging, Transfer Learning, CNN Visualization, VGG, ResNet, Inception, Python & Keras

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What you will learn

• To build from scratch a CNN-based medical diagnosis model.
• To learn how to get and prepare medical dataset used in this work.
• To understand by examples how CNN layers are working.

Rating: 4.35

Level: Intermediate Level

Duration: 1.5 hours

Instructor: Hussein Samma