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Toplam kayıt 5, listelenen: 1-5
A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging
(Elsevier Ireland Ltd, 2021)
Background and objective: The size, shape, and position of the pancreas are affected by the patient characteristics such as age, sex, adiposity. Owing to more complex anatomical structures (size, shape, and position) of ...
A Comprehensive Review of Computer-based Techniques for R-Peaks/QRS Complex Detection in ECG Signal
(Springer Science and Business Media B.V., 2023)
Electrocardiogram (ECG) signal, which is composite of multiple segments such as P-wave, QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease. For an analysis of cardiac diagnosis, it is ...
An Efficient 1D Autoencoder-Based Approach for R-Peaks Detection in Electrocardiogram Signals
(Institute of Electrical and Electronics Engineers Inc., 2023)
Electrocardiogram (ECG) signal which is composition of multiple segments such as P-wave, QRS complex and T-wave plays a crucial role in evaluating human heart cardiac diagnosis. For an analysis of cardiac diagnosis, it is ...
A Hybrid CNN-LSTM Framework for Unsupervised Anomaly Detection in Water Distribution Plant
(Institute of Electrical and Electronics Engineers Inc., 2023)
To reduce potential threats to public health and economic losses, water distribution systems, which are critical parts of industrial control systems, require accurate and effective anomaly detection. The successful ...
An Extensive Study: Creation of A New Inverted Microscope Image Data Set and Improving Auto-Encoder Models for Higher Accuracy Segmentation of HaCaT Cell Culture Line
(Institute of Electrical and Electronics Engineers Inc., 2023)
In cell culture investigations, it is assumed that the number of cells is counted automatically without the need for forward planning, additional tools, or consumables. The automatic cell counting process is greatly ...