An improved dense V-network for fast and precise segmentation of left atrium
Knowledge of the underlying anatomy of the left atrium can promote improved diagnostic protocols and clinical interventions; therefore, automatic segmentation of the left atrium on magnetic resonance imaging (MRI) can support diagnosis, treatment and surgery planning of the heart. Due to the small s...
Saved in:
Main Authors: | Kausar, Asma, Razzak, Imran, Shapiai, Ibrahim, Alshammari, Riyadh |
---|---|
Format: | Conference or Workshop Item |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/96217/ http://dx.doi.org/10.1109/IJCNN52387.2021.9534418 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
3D shallow deep neural network for fast and precise segmentation of left atrium
by: Kausar, Asma, et al.
Published: (2023) -
Comparative studies of deep learning segmentation models for left ventricle segmentation
by: Shoaib, Muhammad Ali, et al.
Published: (2022) -
Investigation of left handed metamaterial in microstrip antenna application
by: A. Rahim, Mohamad Kamal, et al.
Published: (2007) -
Granular-based dense crowd density estimation
by: Kok, Ven Jyn, et al.
Published: (2018) -
Self-Organized Wireless Sensor Network (SOWSN) for dense jungle applications
by: Hakim, Galang Persada Nurani, et al.
Published: (2023)