Learn 3D Image Classification with Python and Keras
Learn to predict viral pneumonia in CT scans with the help of 3D CNNs in Python and Keras : Hands-on
What you will learn
Understanding of 3D image classification and its applications in medical imaging, specifically in classifying viral pneumonia in CT scans.
Knowledge of how to use Python, Keras, and TensorFlow to build a 3D convolutional neural network (CNN) for image classification.
Hands-on experience in pre-processing and preparing 3D images for input into a machine learning model.
Understanding of the architecture and parameters used in a 3D convolutional neural network.
Why take this course?
Welcome to the "Learn 3D Image Classification with Python and Keras" course. In this comprehensive and hands-on course, you will learn how to build a powerful 3D convolutional neural network (CNN) for classifying CT scans. With the use of the Google Colab platform, Python, and Keras in TensorFlow, you will be able to effectively analyse medical images and predict the presence of viral pneumonia in computer tomography (CT) scans.
Medical imaging plays a vital role in disease diagnosis, and this course will provide you with the necessary skills and techniques to excel in this field. You will be able to tackle real-world challenges and gain a strong foundation in 3D image classification and deep learning. This is an excellent opportunity for healthcare professionals, data scientists, and anyone looking to advance their AI skills.
By the end of this course, you will have a complete understanding of how to classify 3D images using Python and Keras. You will have a portfolio project that you can showcase to potential employers and be able to confidently apply your skills in a professional setting. With its clear and concise approach, this course is designed to maximize your learning potential in the shortest time possible.
Enroll now and take the first step towards a fulfilling career in 3D image classification and AI. Happy Learning!