This small tutorial is targeted at researchers that have basic machine learning and Python programming skills that want to implement instance image segmentation for further use in their models.

Python implementation of A Robust Hair Segmentation and Removal Approach for Clinical Images of Skin Lesions by collective of authors from Japan. Often cited simple as Adam Huang*

TensorFlowFlexUNet Image Segmentation for Japan Landslide.

C# implementation of a 4D cardiovascular segmentation method using MRI images. Optimised, validated and tested on internal data of Cardio Flow Design, Tokyo, Japan

This repository documents the workflow and visualization process from my research on **automated musculoskeletal segmentation** in torso CT images at the **Nara Institute of Science and Technology (NAIST), Japan**. > ⚠️ Due to institutional research policies and ongoing publication, model code and real experimental results are not included.

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