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- Volume 18, Issue 5, 2022
Current Medical Imaging - Volume 18, Issue 5, 2022
Volume 18, Issue 5, 2022
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A Survey on Machine Learning Based Medical Assistive Systems in Current Oncological Sciences
Authors: Bobbinpreet Kaur, Bhawna Goyal and Ebenezer DanielBackground: Cancer is one of the life-threatening diseases which is affecting a large number of population worldwide. Cancer cells multiply inside the body without showing much symptoms on the surface of the skin, thereby making it difficult to predict and detect the onset of the disease. Many organizations are working towards automating the process of cancer detection with minimal false detection rates. Introduction: Th Read More
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An Active and Low-cost Microwave Imaging System for Detection of Breast Cancer Using Back Scattered Signal
Authors: Anupma Gupta, Paras Chawla, Ankush Kansal and Kulbir SinghA defected ground antenna with dielectric reflector is designed and investigated for breast tumour diagnosis. Ultra-wide band resonance (3.1 to 10.6 GHz) is achieved by etching two slots and adding a narrow vertical strip in a patch antenna. A high dielectric constant substrate is added below the antenna, which shows remarkable effect on performance. Antenna performance is verified experimentally on an artificially fabricate Read More
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Image Integration Procedures in Multisensory Medical Images: A Comprehensive Survey of the State-of-the-art Paradigms
Authors: Ayush Dogra, Chirag K. Ahuja and Sanjeev KumarBackground: Obtaining the medical history from a patient is a tedious task for doctors as it depends on a lot of factors which are difficult to keep track from a patient’s perspective. Doctors have to rely upon technological tools to make a swift and accurate judgment about the patient’s health. Introduction: Out of many such tools, there are two special imaging modalities known as X-ray - Computed Tomography (CT) and Magne Read More
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COVID-19 Imaging-based AI Research - A Literature Review
Authors: Cheng Ge, Lili Zhang, Liangxu Xie, Ren Kong, Hong Zhang and Shan ChangBackground: The new coronavirus disease 2019 (COVID-19) is spreading rapidly around the world. Artificial Intelligence (AI) assisted identification and detection of diseases is an effective method of medical diagnosis. Objectives: To present recent advances in AI-assisted diagnosis of COVID-19, we introduce major aspects of AI in the process of diagnosing COVID-19. Methods: In this paper, we firstly cover the latest collection and Read More
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Progress and Challenges in Physiological Artifacts’ Detection in Electroencephalographic Readings
Authors: Amandeep Bisht, Preeti Singh, Chamandeep Kaur, Sunil Agarwal and Manisha AjmaniBackground: Electroencephalographic (EEG) recordings are used to trace neural activity within the cortex to study brain functioning over time. Introduction: During data acquisition, the unequivocal way to reduce artifact is to avoid artifact stimulating events. Though there are certain artifacts that make this task challenging due to their association with the internal human mechanism, in the human-computer interface, Read More
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NIR-based Sensing System for Non-invasive Detection of Hemoglobin for Point-of-care Applications
Authors: Yogesh Kumar, Ayush Dogra, Vikash Shaw, Ajeet Kaushik and Sanjeev KumarBackground: Hemoglobin is an essential biomolecule for the transportation of oxygen, therefore, its assessment is also important to be done frequently in numerous clinical practices. Traditional invasive techniques have concomitant shortcomings, such as time delay, the onset of infections, and discomfort, which necessitate a non-invasive hemoglobin estimation solution to get rid of these constraints in health infor Read More
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Multimodal Medical Image Fusion Based on Content-based and PCA-sigmoid
More LessObjective: The objective of any multimodal medical image fusion algorithm is to assist a radiologist for better decision-making during the diagnosis and therapy by integrating the anatomical (magnetic resonance imaging) and functional (positron emission tomography/ single-photon emission computed tomography) information. Methods: We proposed a new medical image fusion method based on content-based decompositio Read More
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A Novel Multicolor-thresholding Auto-detection Method to Detect the Location and Severity of Inflammation in Confirmed SARS-COV-2 Cases using Chest X-Ray Images
Objectives: Since late 2019, Coronavirus Disease 2019 (COVID-19) has spread around the world. It has been determined that the disease is very contagious and can cause Acute Respiratory Distress (ARD). Medical imaging has the potential to help identify, detect, and quantify the severity of this infection. This work seeks to develop a novel auto-detection technique for verified COVID-19 cases that can detect aberrant alterati Read More
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Advanced Deep Learning Algorithms for Infectious Disease Modeling Using Clinical Data: A Case Study on COVID-19
Background: Dealing with the COVID-19 pandemic has been one of the most important objectives of many countries.Intently observing the growth dynamics of the cases is one way to accomplish the solution for the pandemic. Introduction: Infectious diseases are caused by a micro-organism/virus from another person or an animal. It causes difficulty at both the individual and collective levels. The ongoing episode of Read More
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Computed Tomography-guided Percutaneous Drainage of Pneumomediastinum in a Newborn: A Case Report
Authors: Turkay Rzayev, Efe Soydemir, Safak Gucyetmez, Gursu Kiyan, Hulya Ozdemir, Asli Memisoglu, Hulya Bilgen and Eren OzekBackground: Neonatal pneumomediastinum is seen in 2.5 per 1000 live births and is mostly managed conservatively. An intervention is essential in cases with tension pneumomediastinum. Ultrasonography-guided (USG-guided) relief of pneumomediastinum has been reported in newborns. There are no reported cases of computed tomography-guided (CT-guided) drainage of pneumomediastinum in neonates. Case Presenta Read More
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Volumes & issues
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Volume 21 (2025)
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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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