Peer-reviewedCC BYDiagnostics (Basel, Switzerland)
Curriculum-Based Deep Learning for Automated Segmental Left Ventricular Hypertrophy Classification Using Short-Axis Echocardiography
- 1Department of Computer Science and Engineering, , RSM Nagar, Kavaraipettai 601206, India
- 2Department of Electrical and Electronics Engineering, R.V.S. College of Engineering, Dindigul 624005, India
- 3Department of Artificial Intelligence and Data Science, , Chennai 600062, India
Related
- Echocardiographic Left Ventricular Hypertrophy Among Patients with Type 2 Diabetes Undergoing Clinically Indicated Echocardiography at a Saudi Cardiac Center: Prevalence and Associated Factors
- Artificial Intelligence for Automated Continuous Quantification of Left Ventricular Ejection Fraction From Standard Adult Transthoracic Echocardiography: A Systematic Review.
- Left ventricular hypertrophy, brain atrophy and cognitive decline in type 2 diabetes mellitus: Diabetes & Dementia (D2) cohort study
- Transthoracic echocardiography vs. cardiac magnetic resonance imaging for the diagnosis of left ventricular thrombus: an updated systematic review and diagnostic accuracy meta-analysis
- Evolution of right ventricular contraction patterns of adult heart transplant recipients by three-dimensional echocardiography.
BibTeX
@article{periyasamy2026curriculumbased,
title = {{Curriculum-Based Deep Learning for Automated Segmental Left Ventricular Hypertrophy Classification Using Short-Axis Echocardiography}},
author = {Rajeswari Periyasamy and Srinivasan Selvaraj and Francis Antony Selvi Pitchaimuthu and Aneesh Euprazia Lucas},
journal = {Diagnostics (Basel, Switzerland)},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13664295},
note = {CC BY},
}
RIS
TY - JOUR
TI - Curriculum-Based Deep Learning for Automated Segmental Left Ventricular Hypertrophy Classification Using Short-Axis Echocardiography
AU - Rajeswari Periyasamy
AU - Srinivasan Selvaraj
AU - Francis Antony Selvi Pitchaimuthu
AU - Aneesh Euprazia Lucas
PY - 2026
DA - 2026/09/28
JO - Diagnostics (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13664295
SN - 2075-4418
ER -