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Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray [article]

Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang
2020 arXiv   pre-print
This article reviews pulmonary CT and X-ray image detection and classification in the last decade.  ...  It also provides an overview of the detection of lung nodules, pneumonia, and other common lung lesions based on the imaging characteristics of various lesions.  ...  Conclusion This article presented an overview of studies on pulmonary lesion detection and classification via CT and X-ray images.  ... 
arXiv:2012.15442v1 fatcat:m6hwcww62res3pjzytmvglp7j4

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron [article]

Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, Asiya Batool, Anabia Sohail, Muhammad Waleed Khan
2022 arXiv   pre-print
Each category includes pre-trained and custom-made Convolutional Neural Network architectures for detecting COVID-19 infection in radiographic imaging modalities; X-Ray, and Computer Tomography (CT).  ...  This survey provides an insight into the promising areas of research in DL for analyzing radiographic images, and further accelerates the research in designing customized DL based diagnostic tools for  ...  , X-Ray and CT.  ... 
arXiv:2202.06372v2 fatcat:cakw34chu5dbxpt4kp67ibukl4

Effective Survey on Detection and Classification of COVID-19 Suspected Individual Using CT scan Images

Snehal R. Sambhe, Dr. Kamlesh A. Waghmare
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
A learning model can be built based on CT scan images or Chest X-rays of individuals with higher accuracy.  ...  As insufficient testing kits are available, the development of new testing kits for detecting COVID remains an open vicinity of research.  ...  Therefore, the improvement in the availability of testing kits CNN for the classification of pulmonary artery veins from CT-scan images and achieves an accuracy of 94%.  ... 
doi:10.32628/cseit217339 fatcat:qdcrfubsnrckrjp3icxr6lgzx4

Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19

Hanan Farhat, George E. Sakr, Rima Kilany
2020 Machine Vision and Applications  
, and detection, as well as different pulmonary pathologies like airway diseases, lung cancer, COVID-19 and other infections.  ...  This paper reviews the development of deep learning applications in medical image analysis targeting pulmonary imaging and giving insights of contributions to COVID-19.  ...  However, they are last at the level of availability, while X-Ray, US and CT are widely available.  ... 
doi:10.1007/s00138-020-01101-5 pmid:32834523 pmcid:PMC7386599 fatcat:tkkylrptc5hkpoj52hjs3kuttu

Intelligent Image Diagnosis of Pneumoconiosis Based on Wavelet Transform-Derived Texture Features

Zichen Wang, Maoneng Hu, Min Zeng, Guoliang Wang, Kelvin Wong
2022 Computational and Mathematical Methods in Medicine  
The detection rate of CT for stage I of occupational pneumoconiosis was significantly higher than that of DR ( P = 0.031 ). Conclusion.  ...  The diagnostic values of DR and CT for occupational pneumoconiosis were the same ( kappa = 0.737 , P < 0.001 ).  ...  Acknowledgments The study was supported by the Hefei Independent Innovation Policy "Loan to Supplement" Fund Project (No. J2019Y06).  ... 
doi:10.1155/2022/2037019 pmid:35341000 pmcid:PMC8947888 fatcat:i6hzm4kisja5rmn7hrh6nlr3xe

Traumatic Vertebral Fractures with Concomitant Fractures of the First Rib

Hong-wei Wang, Qiang Xiang, Chang-qing Li, Yue Zhou
2013 Orthopaedic Surgery  
According to the American Spinal Injury Association (ASIA) classification, 10 patients (58.8% of the total study group) had motor and sensory deficits (ASIA A-D).  ...  Objective: To investigate the characteristics of patients with traumatic vertebral fractures and concomitant fractures of the first rib and their management.  ...  In the current study, five cases (29.4%) of first rib fractures were detected on chest X-ray films and 12 (70.6%) by CT.  ... 
doi:10.1111/os.12039 pmid:23658044 fatcat:tm6ubjkt65awjaqz5mvi2sy57m

Thorax [chapter]

Alexander Rokitansky
2009 Pediatric Surgery Digest  
( ■ Chest X-rayCT scan or MRI in order to differentiate between empyema and lung abscess (Table 16.1) according to detection of the thick pleural peel ■ Ultrasonography-or CT-guided needle thoracocentesis  ...  at the beginning ■ Recurrent signs of pulmonary infections ■ Chronic cough Preoperative work-up ■ Chest X-ray (Fig. 16.22) ■ CT scan ■ Bronchoscopy ■ Ventilatory and perfusion scintigraphy  ...  drainage and to detect new abscess formations Prognosis ■ Depends on the patient's constitution, the involved bacteria, and the distribution of the inflammation  ... 
doi:10.1007/978-3-540-34033-1_16 fatcat:zmexbgiavnfexoer6bigpfhas4

Rare airway tumors: an update on current diagnostic and management strategies

Marwan Saoud, Monali Patil, Samjot Singh Dhillon, Saraswati Pokharel, Anthony Picone, Mark Hennon, Sai Yendamuri, Kassem Harris
2016 Journal of Thoracic Disease  
Acknowledgements The corresponding author should confirm that he or she had full access to all the data in the study and had final responsibility for the decision to submit for publication  ...  Detectable on chest X-ray and CT scan; Positive PET-CT scans (6-10% of cases) Nodular or vascular lesions; ice-berg structure with wide base and narrow intraluminal projection of nodular or lobulated  ...  for chromogranin and synaptophysin and negative for smooth- muscle actin antibodies; Intracytoplasmic dense-core granules seen under electron microscope Leiomyoma Detectable lesions on X-ray, specially  ... 
doi:10.21037/jtd.2016.07.40 pmid:27621844 pmcid:PMC4999752 fatcat:5nnvjoyfwjbrlenznnnjsuvx5q

A Survey of Deep Learning for Lung Disease Detection on Medical Images: State-of-the-Art, Taxonomy, Issues and Future Directions

Stefanus Tao Hwa Kieu, Abdullah Bade, Mohd Hanafi Ahmad Hijazi, Hoshang Kolivand
2020 Journal of Imaging  
The recent developments of deep learning support the identification and classification of lung diseases in medical images.  ...  However, their survey is lacking in the presentation of taxonomy and analysis of the trend of recent work.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/jimaging6120131 pmid:34460528 fatcat:jhi5r4nj5nccbklrdbtuk4qo6e

COVID-19 Segmentation and Classification from CT Scan Images

Sridevi Ramachandra Rathod, Harmeet Kaur Khanuja
2022 Journal of scientific research  
Our framework is evaluated upon 349 positive and 397 negative CT scans to detect COVID-19 & help in taking appropriate diagnostic decisions.  ...  Therefore, an automated detection of lung infections is very necessary to tackle COVID-19.  ...  Literature Survey Existing works performed on segmentation and classification of COVID-19 Pneumonia from the given X-ray or CT images to help in diagnosing of COVID-19 are presented below.  ... 
doi:10.37398/jsr.2022.660206 fatcat:rqrl6bxtajfbnfh3uxjl6qsi74

Review Research of Medical Image Analysis Using Deep Learning

Bakhtyar Ahmed Mohammed, Muzhir Shaban Al-Ani
2020 UHD Journal of Science and Technology  
resonance spectroscopy, CT, X-ray, wireless capsule endoscopy, breast cancer, papanicolaou smear, hyper spectral image, and ultrasound use to diagnose different body organs and cases.  ...  In general, it involves five processes, such as medical image classification, medical image detection, medical image segmentation, medical image registration, and medical image localization.  ...  disease detection and organ and lesion detections Carneiro et al. [67] Detection Deep learning (CNN) X-ray, CT, MRI, and microscopy mentioned some public datasets ---- Indicated performance  ... 
doi:10.21928/uhdjst.v4n2y2020.pp75-90 fatcat:t3oml2upijcgfi4lsngntxy3ai

April_2020_Top_Read_Articles

Zahra Ahmadi-Dastjerdi
2020 Zenodo  
In this paper, the AdaBoost method is utilized to detect the facial area of input image. After that the facial area is divided into some local regions.  ...  To evaluate the proposed method, two datasets, Twins Days Festival and Iranian Twin Society, are collected where the datasets includes scaled and rotated facial images of identical twins in different illuminations  ...  Image Processing and Classification Techniques for Early Detection of Lung Cancer for Preventive Health Care: A Survey. Int. J. of Recent Trends in Engineering & Technology, 11. 14. Gajdhane, M. V.  ... 
doi:10.5281/zenodo.3760552 fatcat:pav5eigm6bcy3awus7pwravbkm

Pneumothorax after transbronchial needle biopsy

Tatjana Boskovic, Milos Stojanovic, Jelena Stanic, Slobodanka Pena Karan, Gordana Vujasinovic, Dragan Dragisic, Konstantinos Zarogoulidis, Ioanna Kougioumtzi, Georgios Dryllis, Ioannis Kioumis, Georgia Pitsiou, Nikolaos Machairiotis (+8 others)
2014 Journal of Thoracic Disease  
In our current work we will provide all those diagnostic cases where PNTX is induced and treatment from the point of view of expert radiologists and pulmonary physicians.  ...  However; only pulmonary physicians and thoracic surgeons can provide a permanent solution for the patient. The final solution would be for a patient to undergo surgery for a final solution.  ...  Acknowledgements Disclosure: The authors declare no conflict of interest.  ... 
doi:10.3978/j.issn.2072-1439.2014.08.37 pmid:25337399 pmcid:PMC4203979 fatcat:mffvmjbahrdk5eqwhpsfknwps4

A Systematic Collection of Medical Image Datasets for Deep Learning [article]

Johann Li, Guangming Zhu, Cong Hua, Mingtao Feng, BasheerBennamoun, Ping Li, Xiaoyuan Lu, Juan Song, Peiyi Shen, Xu Xu, Lin Mei, Liang Zhang (+2 others)
2021 arXiv   pre-print
The lack of data in the medical imaging field creates a bottleneck for the application of deep learning to medical image analysis.  ...  on the methodology to test and evaluate their methods' performance and robustness on relevant datasets, 3) to provide a "route" to relevant algorithms for the relevant medical topics, and challenge leaderboards  ...  Acknowledgments We thanks for the projects of National Natural Science Foundation of China (62072358), Zhejiang University special scientific research fund for COVID-19 preverntion and control, National  ... 
arXiv:2106.12864v1 fatcat:bjzkgce2xvaexmb6cdznws7fye

The Accuracy of Emergency Physicians' Suspicions of Active Pulmonary Tuberculosis

Shiang-Jin Chen, Chun-Yu Lin, Tzu-Ling Huang, Ying-Chi Hsu, Kuan-Ting Liu
2021 Journal of Clinical Medicine  
Objective: To investigate factors associated with recognition and delayed isolation of pulmonary tuberculosis (PTB).  ...  Methods: Retrospectively reviewed PTB suspects admitted via the ED were divided into three groups based on the acid-fast bacilli culture report and whether they were isolated initially in the ED or general  ...  CXR, chest X ray; CT, computed tomography; ED, emergency department.  ... 
doi:10.3390/jcm10040860 pmid:33669722 pmcid:PMC7922231 fatcat:nk47woakkzdmzgslqvxgtwa43q
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