Artificial intelligence contouring in radiotherapy for organs-at-risk and lymph node areas
Céline Meyer, Sandrine Huger, Marie Bruand, Thomas Leroy, Jérémy Palisson, Paul Rétif, Thomas Sarrade, Anais Barateau, Sophie Renard, Maria Jolnerovski, Nicolas Demogeot, Johann Marcel, Nicolas Martz, Anaïs Stefani, Selima Sellami, Juliette Jacques, Emma Agnoux, William Gehin, Ida Trampetti, Agathe · 2024
Read Artificial intelligence contouring in radiotherapy for organs-at-risk and lymph node areas by Céline Meyer, Sandrine Huger, Marie Bruand, Thomas Leroy, Jérémy Palisson, Paul Rétif, Thomas Sarrade, Anais Barateau, Sophie Renard, Maria Jolnerovski, Nicolas Demogeot, Johann Marcel, Nicolas Martz, Anaïs Stefani, Selima Sellami, Juliette Jacques, Emma Agnoux, William Gehin, Ida Trampetti, Agathe (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11580215.txt.
Description
Céline Meyer and many colleagues published a 2024 study on AI tools that draw treatment borders in radiotherapy. Before radiation, staff must outline the organs at risk and the lymph node zones on scans. Hand drawing is slow and varies a lot between users.
The team compared eight AI programs sold for this task. They rated each on technical traits and on how close its outlines came to expert ones. Lymph node zones are a hard case, since their borders follow rules more than sharp anatomy. Standard tools could cut planning time and even out quality between centers. The study gives clinics a side-by-side guide for picking such software.
Catalog record
| CREATOR | Céline Meyer, Sandrine Huger, Marie Bruand, Thomas Leroy, Jérémy Palisson, Paul Rétif, Thomas Sarrade, Anais Barateau, Sophie Renard, Maria Jolnerovski, Nicolas Demogeot, Johann Marcel, Nicolas Martz, Anaïs Stefani, Selima Sellami, Juliette Jacques, Emma Agnoux, William Gehin, Ida Trampetti, Agathe |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |