CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12931 > Article
Presentation
3 April 2024 Why complete medical data curation matters: challenges faced while comparing two deep-learning-based CT segmentation methods
Haoqi Wang, Mia Markey, Nicolas Pannetier, Mehul Sampat
Author Affiliations +
Proceedings Volume 12931, Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications; 129310G (2024) https://doi.org/10.1117/12.3009174
Event: SPIE Medical Imaging, 2024, San Diego, California, United States
Abstract
Fully automated organ segmentation on Computed Tomography (CT) images is an important first step in many medical applications. Many different Deep Learning (DL) based approaches are being actively developed for this task. However, often it is hard to make a direct comparison between two segmentation methods. We tested the performance of two deep learning-based CT on an independent dataset of CT scans. Algorithm-1 performed much better on the segmentation of the kidney. In contrast, the performance of the two algorithms was similar for the segmentation of the liver. For both algorithms, a number of outliers (Dice <= 0.5) were observed. With limited scan acquisition parameters, it was not possible to diagnose the root cause for the outliers. This work highlights the urgent need for complete DICOM header curation. The DICOM header information could help to pin-point the scanning parameters that lead to segmentation errors by Deep Learning algorithms.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Haoqi Wang, Mia Markey, Nicolas Pannetier, and Mehul Sampat "Why complete medical data curation matters: challenges faced while comparing two deep-learning-based CT segmentation methods", Proc. SPIE 12931, Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications, 129310G (3 April 2024); https://doi.org/10.1117/12.3009174
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 PRESENTATION
WATCH
PRESENTATION SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
KEYWORDS
Image segmentation
Computed tomography
Liver
Deep learning
Kidney
Algorithm testing
Image processing algorithms and systems
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top