DeepImageTranslator V2: Analysis of Multimodal Medical Images using Semantic Segmentation Maps Generated through Deep Learning
Introduction: Analysis of multimodal medical images often requires the selection of one or many anatomical regions of interest (ROIs) for extraction of useful statistics. This task can prove laborious when a manual approach is used. We have previously developed a user-friendly software tool for imag...
Main Authors: | En Zhou Ye, En Hui Ye, Maxime Bouthillier, Run Zhou Ye |
---|---|
Format: | Article |
Language: | English |
Published: |
Ital Publication
2022-09-01
|
Series: | HighTech and Innovation Journal |
Subjects: | |
Online Access: | https://hightechjournal.org/index.php/HIJ/article/view/326 |
Similar Items
-
Advances in multimodality molecular imaging
by: Zaidi Habib, et al.
Published: (2009-01-01) -
Editorial: Multimodality Molecular Imaging
by: Zhen Cheng, et al.
Published: (2019-11-01) -
Role of 18F-FDG PET/CT in Erdheim–Chester Disease in the Era of Multimodality Imaging
by: Bhargavi Jois, et al.
Published: (2021-07-01) -
Role of Multimodal Imaging in Patients With Suspected Infections After the Bentall Procedure
by: Martina Sollini, et al.
Published: (2021-12-01) -
MMI-Fuse: Multimodal Brain Image Fusion With Multiattention Module
by: Zhenghe Shi, et al.
Published: (2022-01-01)