Konu "Deep learning" için WoS İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 7, listelenen: 1-7
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Deep learning for diagnosis of malign pleural effusion on computed tomography images
(Elsevier, 2023)Background: The pleura is a serous membrane that surrounds the lungs. The visceral surface secretes fluid into the serous cavity and the parietal surface ensures a regular absorption of this fluid. If this balance is ... -
Deep network-based comprehensive parotid gland tumor detection
(Elsevier, 2023)Rationale and Objectives: Salivary gland tumors constitute 2%-6% of all head and neck tumors and are most common in the parotid gland. Magnetic resonance (MR) imaging is the most sensitive imaging modality for diagnosis. ... -
Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study
(Quintessence Publishing, 2023)Objectives: This study aimed to develop an artificial intelligence (Al) model that can determine automatic tooth numbering, frenulum attachments, gingival overgrowth areas, and gingival inflammation signs on intraoral ... -
Lung cancer detection based on computed tomography image using convolutional neural networks
(2023)Background: Lung cancer is the most common type of cancer, accounting for 12.8% of cancer cases worldwide. As initially non-specific symptoms occur, it is difficult to diagnose in the early stages. Objective: Image ... -
Machine learning driven optimization and parameter selection of multi-surface HTS Maglev
(Elsevier, 2024)This research aims to tackle the challenges posed by precise force measurement for high temperature superconducting (HTS) Maglev systems, including mechanical constraints, step motor limitations, and sensor resolutions. ... -
Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques
(Springer, 2023)The study aimed to develop a clinical diagnosis system to identify patients in the GD risk group and reduce unnecessary oral glucose tolerance test (OGTT) applications for pregnant women who are not in the GD risk group ... -
Vibration data-driven anomaly detection in UAVs: A deep learning approach
(Elsevier, 2024)Unmanned Aerial Vehicles (UAVs) are employed for diverse applications, including aerial surveillance and package delivery. However, the occurrence of faults, especially propeller failures, poses significant risks to safe ...