Python for Medical Imaging: AI, Deep Learning, and Diagnostic Automation: Build Intelligent Medical Image Models with Python, From Radiology to Pathology ... Health Science and Bioinformatics Book 2)
Reactive PublishingThe future of medicine is computational, and it starts here. Python for Medical Imaging is your complete guide to using artificial intelligence and deep learning to revolutionize diagnostic workflows across radiology, pathology, and clinical imaging.
Through real-world examples and practical code implementations, you’ll learn how
Process and analyze MRI, CT, and X-ray images using Python and OpenCV.
Build convolutional neural networks (CNNs) for tumor detection and tissue classification.
Apply advanced architectures like U-Net and Vision Transformers for segmentation and reconstruction.
Create AI-driven diagnostic models with TensorFlow and PyTorch.
Automate labeling, preprocessing, and performance evaluation in medical datasets.
Deploy interpretable models that assist clinicians with data-backed precision.
Combining medical imaging theory with hands-on programming, this book transforms Python from a simple tool into an engine of discovery. Whether you’re a data scientist exploring healthcare AI or a medical researcher adopting automation, Python for Medical Imaging provides the technical foundation and creative vision to bring intelligence into the world of diagnostics.