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- Volume 17, Issue 9, 2021
Current Medical Imaging - Volume 17, Issue 9, 2021
Volume 17, Issue 9, 2021
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Ultrasound Elastography in Ocular and Periocular Tissues: A Review
Ultrasound elastography has become available in everyday practice, allowing direct measurement of tissue elasticity with important and expanding clinical applications. Several studies that have evaluated pathological and non-pathological tissues have demonstrated that ultrasound elastography can actually improve the diagnostic accuracy of the underlying disease process by detecting differences in their elasticity. Ocular and pe Read More
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Computed Tomographic Evaluation of Colonic Diverticulum Complications
More LessCases of diverticulosis of the colon continue to increase, especially in the Western countries. In these countries, two-thirds of the population older than 70 years of age are considered to experience this disease. Medical and surgical treatment for diverticulosis actually begun for the complications of diverticulitis and lower gastrointestinal hemorrhage. The first evaluation of complicated diverticular disease is based on Read More
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A Tour of Unsupervised Deep Learning for Medical Image Analysis
Authors: Khalid Raza and Nripendra K. SinghBackground: Interpretation of medical images for the diagnosis and treatment of complex diseases from high-dimensional and heterogeneous data remains a key challenge in transforming healthcare. In the last few years, both supervised and unsupervised deep learning achieved promising results in the area of medical image analysis. Several reviews on supervised deep learning are published, but hardly any rigorous review Read More
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Digital Mammograms with Image Enhancement Techniques for Breast Cancer Detection: A Systematic Review
Authors: Saifullah H. Suradi and Kamarul Amin AbdullahBackground: Digital mammograms with appropriate image enhancement techniques will improve breast cancer detection, and thus increase the survival rates. The objectives of this study were to systematically review and compare various image enhancement techniques in digital mammograms for breast cancer detection. Methods: A literature search was conducted with the use of three online databases namely, Read More
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Diagnosis of Inflammatory Bowel Disease by Abdominal Ultrasound and Color Doppler Techniques
Background & Aims: The utility of ultrasound and color Doppler in the diagnosis and evaluation of inflammatory bowel diseases (IBD) has not been studied enough. Therefore, the aim of the current study was to evaluate the importance of conventional abdominal ultrasound and color Doppler in diagnosing IBD and assessing disease activity. Methods: The study was conducted at the National Hepatology and Tropical Medicine Rese Read More
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Texture Analysis in the Evaluation of COVID-19 Pneumonia in Chest X-Ray Images: A Proof of Concept Study
Background: One of the most challenging aspects related to Covid-19 is to establish the presence of infection in an early phase of the disease. Texture analysis might be an additional tool for the evaluation of Chest X-ray in patients with clinical suspicion of Covid-19 related pneumonia. Objective: To evaluate the diagnostic performance of texture analysis and machine learning models for the diagnosis of Covid-19 intersti Read More
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CT Image Reconstruction Using NLMfuzzyCD Regularization Method
Authors: Manju Devi, Sukhdip Singh and Shailendra TiwariAims and Scope: Computed tomography (CT) is one of the most efficient clinical diagnostic tools. The main goal of CT is to reproduce an acceptable reconstructed image of an object (either anatomical or functional behaviour) with the help of a limited set of projections at different angles. Background: To achieve this goal, one of the most commonly iterative reconstruction algorithm called Maximum Likelihood Expectation Read More
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Classification of Heart Disease Using MFO Based Neural Network on MRI Images
Authors: Kalaivani K., Uma M. N. and Venkatesh R.Background: Cardiovascular Disease (CVD) is one of the primary diseases that causes death every year. An approximation of roughly about 17.5 million people dies due to CVD, signifying about 31% of global deaths. Based on the statistics, every 34 seconds, a person dies due to heart disease. Various classification algorithms have been developed and utilized as classifiers to support doctors who are ineffectually diagnosed with Read More
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Application of Two New Feature Fusion Networks to Improve Real-time Prostate Capsula Detection
Authors: Shixiao Wu, Chengcheng Guo and Xinghuan WangBackground: Excess prostate tissue is trimmed near the prostate capsula boundary during transurethral plasma kinetic enucleation of prostate (PKEP) and transurethral bipolar plasmakinetic resection of prostate (PKRP) surgeries. If a large portion of the tissue is removed, a prostate capsula perforation can potentially occur. As such, real-time accurate prostate capsula (PC) detection is critical for the prevention of these perfo Read More
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Detection of Lung Cancer on Computed Tomography Using Artificial Intelligence Applications Developed by Deep Learning Methods and the Contribution of Deep Learning to the Classification of Lung Carcinoma
Authors: Nevin Aydın, Özer Çelik, Ahmet F. Aslan, Alper Odabaş, Emine Dündar and Meryem Cansu ŞahinBackground: Every year, lung cancer contributes to a high percentage deaths in the world. Early detection of lung cancer is important for its effective treatment, and non-invasive rapid methods are usually used for diagnosis. Introduction: In this study, we aimed to detect lung cancer using deep learning methods and determine the contribution of deep learning to the classification of lung carcinoma using a convolution Read More
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Visual and Quantitative Assessment of COVID-19 Pneumonia on Chest CT: The Relationship with Disease Severity and Clinical Findings
Authors: Furkan Kaya, Petek Şarlak Konya, Emin Demirel, Neşe Demirtuuml;rk, Semiha Orhan and Furkan UfukBackground: Lungs are the primary organ involved in COVID-19, and the severity of pneumonia in COVID-19 patients is an important cause of morbidity and mortality. Aim: We aimed to evaluate the pneumonia severity through the visual and quantitative assessment on chest computed tomography (CT) in patients with coronavirus disease 2019 (COVID-19) and compare the CT findings with clinical and laboratory findings Read More
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Three-dimensional Pattern of Inflammatory Periapical Lesion Extension in the Premolar’s Region: An Application of K-means Clustering
Authors: Maryam Kazemipoor, Fatemeh Valizadeh and Sara JambarsangBackground: Cone-Beam Computed Tomography (CBCT) provides a better diagnosis of endodontic lesions. Introduction: The present study would assess the pattern of periapical lesion extension in premolar teeth using CBCT. Methods: In this descriptive study 330 roots in the regions of maxillary and mandibular premolars have been evaluated. Maximum periapical lesion extensions in the three orthogonal planes (axial, c Read More
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The Adjunctive Value of Diffusion Weighted Imaging in Diagnosis and Follow Up of Uterovaginal Diffuse B-cell Lymphoma: A Case Report and Literature Review
Authors: Gehad A. Saleh, Reham Alghandour, Eman Y. Rashad, Ahmed M. Tawfik and Ali H. ElmokademBackground: Lymphoma of the female gynecologic tract is extremely rare. Typically, lymphoma is managed nonsurgically unlike other non-lymphomatous malignant tumors raising the importance of differentiation between both entities. Case Presentation: We describe the Magnetic Resonance Imaging (MRI) features of a case of uterovaginal diffuse large B-cell lymphoma in a 50-year-old postmenopausal woman em Read More
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Sonoelastography for Pelvic Metastatic Malignant Pheochromocytoma: A Case Report
Authors: Minkyo Song, Sung B. Park, Jin Woo Yoon, Hyun Jeong Park and Eun Sun LeeIntroduction: Pheochromocytoma are tumors arising from the chromaffin tissue located in the adrenal medulla, associated with typical symptoms and signs. Case Presentation: Occasionally, metastasis, defined as the presence of tumor cells at sites other than the original site, secondary to pheochromocytoma have been reported. Pelvic metastatic malignant pheochromocytoma has rarely been reported in English literature. Read More
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Avascular Necrosis of Humeral Trochlea: A Case Report of the Rare Condition
Introduction: Avascular necrosis of humeral trochlea is a very rare condition and was described by Hegemann in 1957. We reported two cases of avascular necrosis of humeral trochlea and also performed a literature review of the reported cases. We expect that this case report will assist clinicians in making a timely diagnosis when encountering similar clinical scenarios. Materials and Methods: We presented cases of an 11 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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