Related studies on measuring the normal values of optic nerve sheath diameter in healthy Chinese adults based on CT scans by Lei Han, Ning Su, Chao Wu, Jiamin Yang, Xiaolin Liu

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4D Mapping of the Fracture Evolution in a Printed Gypsum-Like Core by Using X-Ray CT Scanning by Huabo Liu, Fanjing Meng, Shaozhen Hua

“…The device can record the evolution of the internal penny-shaped flaw by X-ray CT scanning and the evolution of the surface crack by digital radiography at the same time. …”
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Pediatric Patient with Omental Cyst: A Rare Case (CT scan is not Enough to Differentiate from Other Abdominal Cysts) by Donny Aditia, Andi Dwihantoro

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Detection of Body Packs in Abdominal CT scans Through Artificial Intelligence; Developing a Machine Learning-based Model by Sayed Masoud Hosseini, Seyed Ali Mohtarami, Shahin Shadnia, Mitra Rahimi, Peyman Erfan Talab Evini, Babak Mostafazadeh, Azadeh Memarian, Elmira Heidarli

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A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images by Varun Srivastava, Ravindra Kumar Purwar

“…The dataset used for comparison consisted of CT Scan images of lungs and MR images of heart as obtained from different sources.…”
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Development of an interpretable machine learning model based on CT radiomics for the prediction of post acute pancreatitis diabetes mellitus by Xiyao Wan, Yuan Wang, Ziyi Liu, Ziyan Liu, Shuting Zhong, Xiaohua Huang

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Pleomorphic adenoma of the parapharyngeal space by Anas Douami, Oussama Marsafi, Aicha Merzem, Hasnaa Belgadir, Omar Amriss, Nadia Moussali, Naima Elbenna

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Scaling Geological Fracture Network from a Micro to a Macro Scale by Rouhollah Basirat, Kamran Goshtasbi, Morteza Ahmadi

Subjects: “…ct-scan…”
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Structures internes claviculaires chez Pan, Gorilla et Homo. Méthode d’analyse et résultats préliminaires by Jean-Luc Voisin, Antoine Balzeau

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Letter to the Editor Regarding on the Manuscript "Characteristics of Posterior Ethmoidal Artery and its Relationship with Anterior Ethmoidal Artery and Skull Base on CT Scan" by Mahmood Dhahir Al-MENDALAW

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Pilocytic astrocytoma: A rare case report by Harry Galuh Nugraha, PhD, Elsa Yoasta, MD, Mirna Sobana, MD, Hermin Aminah Usman, MD

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Improved COVID-19 Diagnosis Using a Hybrid Transfer Learning Model with Fuzzy Edge Detection on CT Scan Images by Hassan Salarabadi, Mohammad Saber Iraji, Mehdi Salimi, Mehdi Zoberi

“…Medical specialists often recommend the use of CT scans for COVID-19 diagnosis, particularly in the second week of illness when there is a high suspicion of infection, due to the unique lung patterns observed in COVID-19 patients. …”
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CT scan-derived pectoralis muscle parameters are closely associated with COVID-19 outcomes: A systematic review and meta-analysis. by Zhang Wen, Tao Wang, Sha Luo, Yiwen Liu

“…<h4>Methods</h4>We systematically searched PubMed, Embase, Web of Science and the Cochrane Library from 1 January 2019 to 1 May 2024 to identify non-overlapping studies evaluating pectoralis muscle-associated index on chest CT scan with clinical outcome in COVID-19 patients. …”
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Response to Letter to the Editor on the Manuscript "Posterior Ethmoidal Artery and its Relationship with Anterior Ethmoidal Artery and Skull Base on CT Scan" by Thuy Chung TRAN PHAN, Kiet VUONG DANG

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Nontraumatic right diaphragmatic hernia with malrotated left liver lobe incarceration: An unusual case report with literature review by Adam Sqalli Houssaini, MD, Hajar Zebbakh, MD, Amer Yahia, MD, Jamal El Fenni, PhD, Meriem Boui, MD

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Measurements of Epidural Space Depth Using Preexisting CT Scans Correlate with Loss of Resistance Depth during Thoracic Epidural Catheter Placement by Nathaniel H. Greene, Benjamin G. Cobb, Ken F. Linnau, Christopher D. Kent

“…Overall, this study supports the examination of a recent CT scan to aid in the placement of a thoracic epidural catheter. …”
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RETRACTED ARTICLE: Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images by Ravi Shekhar Tiwari, Lakshmi D, Tapan Kumar Das, Kathiravan Srinivasan, Chuan-Yu Chang

“…Abstract Convolutional Neural Network (CNN) has been employed in classifying the COVID cases from the lungs’ CT-Scan with promising quantifying metrics. However, SARS COVID-19 has been mutated, and we have many versions of the virus B.1.1.7, B.1.135, and P.1, hence there is a need for a more robust architecture that will classify the COVID positive patients from COVID negative patients with less training. …”
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Improved Consistency of Lung Nodule Categorization in CT Scans with Heterogeneous Slice Thickness by Deep Learning-Based 3D Super-Resolution by Dongok Kim, Jae Hyung Park, Chang Hyun Lee, Young-Ju Kim, Jong Hyo Kim

“…In reality, however, CT scans often have heterogeneous slice thickness which is known to adversely impact the accuracy of nodule volume assessment. …”
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A Study of a New Technique of the CT Scan View and Disease Classification Protocol Based on Level Challenges in Cases of Coronavirus Disease by Ahmed B. Salem Salamh, Abdulrauf A. Salamah, Halil Ibrahim Akyüz

“…The chest Computer Tomography (CT scan) is used in the diagnosis of coronavirus disease 2019 (COVID-19) and is an important complement to the Reverse Transcription Polymerase Chain Reaction (RT-PCR) test. …”
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Retraction Note: Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images by Ravi Shekhar Tiwari, Lakshmi D, Tapan Kumar Das, Kathiravan Srinivasan, Chuan‑Yu Chang

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