Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts

Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts

<b>Background:</b> The advent of artificial intelligence has significantly impacted radiology, with radiomics emerging as a transformative approach that extracts quantitative data from medical images to improve diagnostic and therapeutic accuracy. This study aimed to enhance the radiomic...

Full description

Saved in:
Bibliographic Details
Main Authors: Alessandro Stefano, Fabiano Bini, Nicolò Lauciello, Giovanni Pasini, Franco Marinozzi, Giorgio Russo
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:BioMedInformatics
Subjects:
radiomics
deep learning
segmentation
Online Access:https://www.mdpi.com/2673-7426/4/4/125
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items