[HTML][HTML] An assessment of machine learning algorithms in diagnosing cardiovascular disease from right ventricle segmentation of cardiac magnetic resonance images

A Bhan, P Mangipudi, A Goyal - Healthcare Analytics, 2023 - Elsevier
Healthcare research shows early detection of cardiovascular disease (CVD) is the key to
saving the lives of patients suffering from CVDs. Furthermore, recent studies show the Right …

[HTML][HTML] Marker-less tracking system for multiple mice using Mask R-CNN

N Sakamoto, H Kakeno, N Ozaki, Y Miyazaki… - Frontiers in Behavioral …, 2023 - frontiersin.org
Although the appropriate evaluation of mouse behavior is crucial in pharmacological
research, most current methods focus on single mouse behavior under light conditions …

[HTML][HTML] Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network

MA Shoaib, JH Chuah, R Ali, S Dhanalakshmi… - Life, 2023 - mdpi.com
The segmentation of the left ventricle (LV) is one of the fundamental procedures that must be
performed to obtain quantitative measures of the heart, such as its volume, area, and …

[HTML][HTML] nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE

P Dong, H Niu, Z Yi, X Xu - Mathematics, 2023 - mdpi.com
Pulmonary lobe segmentation is vital for clinical diagnosis and treatment. Deep neural
network-based pulmonary lobe segmentation methods have seen rapid development …

Development and external validation of a machine learning-based model to classify uric acid stones in patients with kidney stones of Hounsfield units< 800

BH Chew, VKF Wong, A Halawani, S Lee, S Baek… - Urolithiasis, 2023 - Springer
The correct diagnosis of uric acid (UA) stones has important clinical implications since
patients with a high risk of perioperative morbidity may be spared surgical intervention and …