About this document
CT Image Organ Segmentation Method by lzxhahaheihei is a document available to read on EtoBox.
This dissertation presents an organ subdivision method for CT images based on tree bifurcation point localization using deep learning techniques. It addresses the challenges of accurately segmenting tubular structures within organs and proposes a framework that automates the localization of key bifurcation points, improving the efficiency and reliability of organ partitioning. The research demonstrates the effectiveness of the proposed methods across various organs, highlighting their significant theoretica
- Author
- lzxhahaheihei
- Language
- EN