Image Processing

Completed

This Python-based project, utilizing Streamlit and some others libraries, enables effortless preprocessing and processing of NIfTI medical images. With features like standardization, noise reduction, registration, segmentation, and skull removal, users can enhance and manipulate their images. The user-friendly interface allows for easy experimentation and real-time previewing of effects.