Femural Head Autosegmentation for 3D Radiotherapy Planning: Preliminary Results
Bruno A. G. da Silva, Alvaro L. Fazenda, Fabiano C. Paixao

TL;DR
This study introduces a visual software for automatic femoral head segmentation in pelvic CT scans, demonstrating comparable accuracy to manual delineation and potential to streamline radiotherapy planning.
Contribution
The paper presents a novel fully visual software for automated femoral head segmentation, validated on clinical data with expert evaluation showing high accuracy.
Findings
77.8% of manual contours required no correction
67.8% of automatic contours required no correction
Automated delineation was reproducible and comparable to manual methods
Abstract
Contouring of organs at risk is an important but time consuming part of radiotherapy treatment planning. Several authors proposed methods for automatic delineation but the clinical experts eye remains the gold standard method. In this paper, we present a totally visual software for automated delineation of the femural head. The software was successfully characterized in pelvic CT Scan of prostate patients (n=11). The automatic delineation was compared with manual and approved delineation through blind test evaluated by a panel of seniors radiation oncologists (n=9). Clinical experts evaluated that no any contouring correction were need in 77.8% and 67.8% of manual and automatic delineation respectively. Our results show that the software is robust, the automated delineation was reproducible in all patient, and its performance was similar to manually delineation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Neural Network Applications · Advanced Radiotherapy Techniques · Medical Image Segmentation Techniques
