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PYCAD – Your Medical Imaging Partner

Tag: healthcare

Resampling in Medical Imaging

Guide to resampling medical imaging data using Python and SimpleITK to adjust voxel spacing

Learn how resampling improves medical image quality and analysis.

CNNs or ViT for Medical Imaging?

CNNs vs Vision Transformers for medical imaging: AI model comparison on bone fracture and age detection using X-rays.

What is best for medical imaging, is it CNN based model, or ViT based model? See this blog post to get your answer!

3D Visualization of STL Files with Python & VTK

3D visualization of STL files using Python and VTK for medical imaging and data interpretation.

Discover how to visualize 3D STL files using Python and VTK. This comprehensive guide breaks down the process step-by-step.

I Published My First E-Book!

Free e-book on medical imaging resources for beginners by YouTuber and blogger, sharing guides and datasets.

Free Medical Imaging E-book!

Automatic Liver Segmentation — Part 2/4: Data Preparation and Preprocess

Liver segmentation data preparation and preprocessing using MONAI and PyTorch for 3D medical imaging.

In this blog post, we will discuss the preprocess and the packages that must be installed in order to perform liver segmentation.

3D Volumes Augmentation for Tumor Segmentation using Monai

3D tumor segmentation data augmentation using MONAI: techniques for deep learning in medical imaging.

In this article, we will talk about how to generate synthetic patients for image segmentation.

How to Convert a Dicom Series into one Nifti File (Python)

Step-by-step guide on converting DICOM series to NIfTI files using Python and dicom2nifti for efficient medical image processing.

In this article, I will give you a quick way of how to convert a directory of Dicom files into one volume file (nifti).