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Hannah Mary T. Thomas, Helen Y. C. Wang, Amal Joseph Varghese, Ellen M. Donovan, Chris P. South, Helen Saxby, Andrew Nisbet, Vineet Prakash, Balu Krishna Sasidharan, Simon Pradeep Pavamani, Devakumar Devadhas, Manu Mathew, Rajesh Gunasingam Isiah and Philip M. Evans
The application of this work is in radiomics for medical imaging analysis. It addresses the question of how to establish if radiomic features are stable and reproducible.
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Vinod Cheppamkuzhi and Menaka Dharmaraj
Lung cancer is seen as one of the most common lung diseases. For the patients having symptoms, the presence of lung nodules is checked by using various imaging techniques. Pulmonary nodules are detected in most of the cases having symptoms. But identifyi...
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Prajoy Podder, Fatema Binte Alam, M. Rubaiyat Hossain Mondal, Md Junayed Hasan, Ali Rohan and Subrato Bharati
Due to its high transmissibility, the COVID-19 pandemic has placed an unprecedented burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a valuable and cost-effective tool for detecting and diagnosing COVID-19 patients. In th...
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Hanguang Xiao, Yuewei Li, Bin Jiang, Qingling Xia, Yujia Wei and Huanqi Li
Lung cancer is the highest-mortality cancer with the largest number of patients in the world. Early screening and diagnosis of lung cancer by CT imaging is of great significance to improve the cure rate of lung cancer. CT signs mean the information of co...
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Susanna Guerrini, Davide Del Roscio, Matteo Zanoni, Paolo Cameli, Elena Bargagli, Luca Volterrani, Maria Antonietta Mazzei and Luca Luzzi
Background: Lung cancer (LC) represents the main cause of cancer-related deaths worldwide, especially because the majority of patients present with an advanced stage of the disease at the time of diagnosis. This systematic review describes the evidence b...
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Ashley V. Schwartz, Amanda N. Lee, Rebecca J. Theilmann and Uduak Z. George
Magnetic resonance (MR) imaging has demonstrated that CF subjects have a significantly higher lung density (e.g., fluid content) when compared with healthy control subjects, but, at present, there are no techniques to quantify the spatial presentation of...
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Alberto Battistel, Peter Paul Pott and Knut Möller
Worldwide, lung cancer is one of the most common causes of cancer-related death. Detected by computer tomography, it is usually removed through thoracoscopic surgery. During the surgery the lung collapses requiring some strategies to track or localize th...
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Mohamed Chetoui, Moulay A. Akhloufi, Bardia Yousefi and El Mostafa Bouattane
The coronavirus pandemic is spreading around the world. Medical imaging modalities such as radiography play an important role in the fight against COVID-19. Deep learning (DL) techniques have been able to improve medical imaging tools and help radiologis...
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Francisco Silva, Tania Pereira, Julieta Frade, José Mendes, Claudia Freitas, Venceslau Hespanhol, José Luis Costa, António Cunha and Hélder P. Oliveira
Lung cancer late diagnosis has a large impact on the mortality rate numbers, leading to a very low five-year survival rate of 5%. This issue emphasises the importance of developing systems to support a diagnostic at earlier stages. Clinicians use Compute...
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Huseyin Polat and Homay Danaei Mehr
Lung cancer is the most common cause of cancer-related deaths worldwide. Hence, the survival rate of patients can be increased by early diagnosis. Recently, machine learning methods on Computed Tomography (CT) images have been used in the diagnosis of lu...
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