black0017 / ct-intensity-segmentation

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/

Why statement

I believe in sharing AI research experiences with blogs & open-source and creating useful human-centered AI solutions.

Core projects

• Co-creator of the public MSc Representation Learning course
• Co-author of the Deep Learning in Production book.
• Creator of self-attention-cv a Python package (available via pip) with multiple self-attention modules for computer vision.
• Co-creator of the first ever interactive and 100% text-based deep learning course
• Responsible for the creation of the first large-scale RGB+D Greek sign language video dataset. arxiv link
• For my publications, please visit Google Scholar

Who am I?

I love minimalism, simplicity, and honesty. In social terms, I am an Electrical and Biomedical Engineer (MEng + MSc) interested in the development of human-centered AI. I am currently conducting my Ph.D. research at the University of Dusseldorf. I occasionally publish blog posts on AI Summer. Previous AI research projects that I consciously participated in include radiotherapy research for people with cancer (2020), Greek Sign Language solution systems (2019) and educational games for people with disabilities (2018).

Email remark If you have an offer, opportunity, or introduction that might make my life more interesting, then definitely e-mail me at nikolas [%*^*&_at_&%^*] theaisummer.com . I’ll only respond to those proposals that are a good match for my schedule and interests.

ct-intensity-segmentation's Issues

xyzt_units info missing in image?

According to the article, pixdim should be caculated in by the unit mm, which means the xyzt_units in Nifti1Header should be 2. But I got xyzt_units : 0 in the images.

Wondering if the xyzt_units info is lost in the image?

BTW, thanks for the great tutorial.