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- Volume 19, Issue 5, 2023
Current Medical Imaging - Volume 19, Issue 5, 2023
Volume 19, Issue 5, 2023
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Hyperspectral Imaging: A Review and Trends towards Medical Imaging
Authors: Shahid Karim, Akeel Qadir, Umar Farooq, Muhammad Shakir and Asif A. LaghariHyperspectral Imaging (HSI) is a pertinent technique to provide meaningful information about unique objects in the medical field. This paper discusses the basic principles, imaging methods, comparisons, and advances in the medical applications of HSI to accentuate the importance of HSI in the medical field. To date, there are numerous tools and methods to fix the problems, but reliable medical HSI tools and methods nee Read More
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Nerves of the Thorax: Anatomy, Clinical Signs, and Imaging Findings of Pathological Conditions
Authors: Gamze Durhan, Selin Ardalı Düzgün, Osman al and Orhan M. ArıyürekBackground: Radiological diagnosis of thoracic nerve diseases is difficult because they are rare, and nerves cannot be seen directly on radiological images. The major nerves of the thorax can be listed as the phrenic, vagus, recurrent laryngeal, long thoracic nerve pairs, sympathetic chains, costal nerves, and brachial plexus. Diseases of thoracic nerves have various causes, including traumatic injury, neuromuscular diseases, Read More
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Key Radiological Features of COVID-19 Chest CT Scans with a Focus on Special Subgroups: A Literature Review
Authors: Noor Nouaili, Rachael Garner, Sana Salehi, Marianna La Rocca and Dominique DuncanBackground: In 2019, a series of novel pneumonia cases later known as Coronavirus Disease 2019(COVID-19) were reported in Wuhan, China. Chest computed tomography (CT) has played a key role in the management and prognostication of COVID-19 patients. CT has demonstrated 98% sensitivity in detecting COVID-19, including identifying lung abnormalities that are suggestive of COVID-19, even among asymptomatic in Read More
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Computer-Aided Breast Cancer Diagnosis: Comparative Analysis of Breast Imaging Modalities and Mammogram Repositories
Authors: Parita Oza, Paawan Sharma, Samir Patel and Pankaj KumarThe accurate assessment or diagnosis of breast cancer depends on image acquisition and image analysis and interpretation. The expert radiologist makes image interpretation, and this process has been greatly benefited by computer technology. For image acquisition, various imaging modalities have been developed and used over the years. This research examines several imaging modalities and their associated benefits and dra Read More
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A Systematic Review Comparing Lymphoscintigraphy and Magnetic Resonance Imaging Techniques in the Assessment of Peripheral Lymphedema
Background: Peripheral lymphedema represents a debilitating condition affecting the lymphatic system of the limbs resulting from impaired drainage and excessive lymphatic fluid accumulation in the interstitial spaces. Lymphoscintigraphy is the imaging modality of first choice to investigate patients with peripheral lymphedema. Nevertheless, in recent times, magnetic resonance imaging (MRI) techniques have als Read More
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Diagnostic Accuracy of F18-fluorodeoxyglucose Positron Emission Tomography- computed Tomography for the Detection of Non-small Cell Lung Cancer Recurrence: A Systematic Review and Meta-analysis
Authors: Yunbing Chen, Deying Zhang and Ka FanBackground: The Non-Small Cell Variant of Lung Cancer (NSCLC) has a poorer prognosis. It is typically diagnosed through non-invasive imaging. Of particular note has been FDGPET/ CT, which has been investigated across various settings with differing results. Objective: This study is to pool the available information on the diagnostic performance of 18-F FDG PET/CT for detecting NSCLC recurrence. Methods: A systematic literatu Read More
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Primary SARS-CoV-2 Pneumonia Screening in Adults: Analysis of the Correlation Between High-Resolution Computed Tomography Pulmonary Patterns and Initial Oxygen Saturation Levels
Background: Chest High-Resolution Computed Tomography (HRCT) is mandatory for patients with confirmed Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and a high Respiratory Rate (RR) because sublobar consolidation is the likely pathological pattern in addition to Ground Glass Opacities (GGOs). Objective: The present study determined the correlation between the percentage extent of typical pul Read More
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Evaluation of CT Scan Diagnostic Value in the Novel Coronavirus Disease and Presenting a Corona CT Severity Index
Authors: Abdolmajid Taheri, Majid Asadi-Samani, Ebrahim S. Dezaki, Soleiman Kheiri and Elham TaheriBackground: Several diagnostic methods were proposed and evaluated for the COVID-19 disease. However, published studies have reported different diagnostic values for these methods. Aims: The present study aimed to evaluate the diagnostic performance and accuracy of CT in the novel coronavirus disease (COVID-19) and developed and presented a Corona CT severity index. Methods: In this retrospective study, CT Read More
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Diagnostic Value of DCE-MRI and Tofts Model in Children with Unilateral Hydronephrosis
More LessBackground: Hydronephrosis is a common condition, and the correct diagnosis of hydronephrosis is necessary to improve the early diagnosis rates of pediatric hydronephrosis. Objective: The objective of this study is to explore and analyze the diagnostic value of dynamic contrast- enhanced magnetic resonance imaging (DCE-MRI) analyzed using the Tofts model in children with unilateral hydronephrosis. Methods: We retrospe Read More
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A Deep Learning based Solution (Covi-DeteCT) Amidst COVID-19
More LessBackground: The whole world has been severely affected due to the COVID-19 pandemic. The rapid and large-scale spread has caused immense pressure on the medical sector hence increasing the chances of false detection due to human errors and mishandling of reports. At the time of outbreaks of COVID-19, there is a crucial shortage of test kits as well. Quick diagnostic testing has become one of the main challenges. Read More
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New Explainable Deep CNN Design for Classifying Breast Tumor Response Over Neoadjuvant Chemotherapy
Authors: Mohammed E. Adoui, Stylianos Drisis and Mohammed BenjellounPurpose: To reduce breast tumor size before surgery, Neoadjuvant Chemotherapy (NAC) is applied systematically to patients with local breast cancer. However, with the existing clinical protocols, it is not yet possible to have an early prediction of the effect of chemotherapy on a breast tumor. Predicting the response to chemotherapy could reduce toxicity and delay effective treatment. Computational analysis of Dynami Read More
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Volumes & issues
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)
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