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A Novel Approach for Biofilm Detection Based On a Convolutional Neural Network
2020
Electronics
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Rhinology studies anatomy, physiology and diseases affecting the nasal region: one of the most modern techniques to diagnose these diseases is nasal cytology or rhinocytology, which involves analyzing ...
To demonstrate the reliability of the system, alternative solutions based on isolation forest and deep random forest techniques were also tested. ...
One of the most common diagnostic techniques for identifying rhinological diseases is a nasal cytology, that is the study of nasal cellularity [36] . ...
doi:10.3390/electronics9060881
fatcat:6h2ybsgmkbcezpuuu4yakzbv7u
Comparative Analysis of Rhino-Cytological Specimens with Image Analysis and Deep Learning Techniques
2020
Electronics
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Nowadays, the automated detection and classification of cells benefit from the capacity of deep learning techniques in processing digital images of the cytological preparation. ...
Cytological study of the nasal mucosa (also known as rhino-cytology) represents an important diagnostic aid that allows highlighting of the presence of some types of rhinitis through the analysis of cellular ...
Deep Learning Deep learning (DL) is a branch of machine learning that consists of a set of techniques and algorithms inspired by human brain processes. ...
doi:10.3390/electronics9060952
fatcat:r4rpqiai5ndrpiabdmknkly5ja
Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare
2021
Electronics
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Deep learning techniques are very promising for the segmentation of glomeruli, with a variety of existing approaches. ...
The simplicity of the technique makes nasal cytology a practical diagnostic tool for all rhino-allergology services. ...
doi:10.3390/electronics10111242
fatcat:m6yjls4arzbbbmydzsbg77bz2q
Deep Learning for Computational Cytology: A Survey
[article]
2022
arXiv
pre-print
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We first introduce various deep learning methods, including fully supervised, weakly supervised, unsupervised, and transfer learning. ...
Recently, an increasing number of deep learning (DL) algorithms have made significant progress in medical image analysis, leading to the boosting publications of cytological studies. ...
Deep learning in cytology application In this section, we survey and summarize literatures on various deep learning models applied in computational cytology. ...
arXiv:2202.05126v2
fatcat:d5ockk4ofjgv3oyxnuce4hmxpu
Manifestations of Tuberculosis in Ear, Nose, Throat, Head and Neck Region – A Retrospective Study
2020
Bengal Journal of Otolaryngology and Head Neck Surgery
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This study was done to learn the clinical presentation of tuberculosis in ear, nose, throat and head and neck region, and to assess the effectiveness of various investigations and treatment done for the ...
Most common site was cervical lymph nodes(77.5% patients), followed by larynx(8.3%),middle ear(7.5%),deep neck spaces(2.5%) and salivary glands and nose(1.7% each). ...
Deep neck space tuberculosis patients (3 patients) came with complaints of dysphagia and neck pain and TB was diagnosed by microbiological and cytological examinations of the aspirated pus. ...
doi:10.47210/bjohns.2020.v28i2.332
doaj:2866200c9715483fbe77ba46ad199fe3
fatcat:evmmrromkff2nbmpt2bohiv4se
Application of Machine Learning in Rhinology: A State of the Art Review
2020
Korean Journal of Otorhinolaryngology - Head and Neck Surgery
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Recently, the deep learning techniques including convolutional neural network have been considered as a promising machine learning technique in medical imaging applications. ...
Machine learning techniques can deal with the complexity of big data which is difficult to apply traditional statistics. ...
Recently, the deep learning techniques including convolutional neural network have been considered as a promising machine learning technique in medical imaging applications. ...
doi:10.3342/kjorl-hns.2020.00633
fatcat:k3n4z3prpbb2zobydjosjmge5a
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited
[article]
2020
arXiv
pre-print
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Automation in cytology started in the early 1950s with the aim to reduce manual efforts in diagnosis of cancer. ...
The inflush of intelligent technological units with high computational power and improved specimen collection techniques helped to achieve its technological heights. ...
Deep Learning based: Deep learning based framework is one of the latest trends in many applications and being extensively used in segmentation of cytology images. Song et al. ...
arXiv:2003.07529v1
fatcat:eossjujftzflbfnfhbsw55tlta
A Smartphone-Based Cell Segmentation to Support Nasal Cytology
2020
Applied Sciences
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Rhinology studies the anatomy, physiology, and diseases affecting the nasal region—one of the most modern techniques to diagnose these diseases is nasal cytology, which involves microscopic analysis of ...
the cells contained in the nasal mucosa. ...
Machine learning developers focus on designing models with a reduced number of parameters in the Deep Neural Network model, thus reducing memory and execution latency, while aiming to preserve accuracy ...
doi:10.3390/app10134567
fatcat:vedn4fnl2zb6nnd6r3awcw4fle
A young boy with a maxillary swelling and closed rhinolalia
2011
BMJ Case Reports
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The extranodal, extralymphatic category includes all NHL not in nodes or Waldeyer's ring with the major areas of involvement including the orbit, sinus, nose, mandible, deep facial spaces, parotid gland ...
in lymphoma, immunohistochemistry and molecular studies being supplementary techniques. 12 High-grade lymphomas are associated with a 60% mortality at 5 years after diagnosis and treatment. 10 A review ...
doi:10.1136/bcr.08.2010.3234
pmid:22715226
pmcid:PMC3029663
fatcat:5vvwqp72cvfa5cshqtd4p6oxdm
Part I. Allergy in otolaryngology
1948
The Laryngoscope
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
One can learn only by individual experience how to evaluate the cytology. ...
THE CYTOLOGY OF THE NASAL AND SINUS SECRETIONS. ...
doi:10.1288/00005537-194807000-00004
pmid:18874379
fatcat:hflqsdkyzjeqzpt6txaljqkdpm
PTU-056 Highly Successful, Minimally Invasive Enteral Access By Double-balloon Enteroscopy (dbe) And Laparoscopic-assisted Dbe
2014
Gut
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The overall dysplasia and malignancy rate in the trans nasal group versus the oral group was 2.2% vs. 2.4% (p = 0.4048). ...
All endoscopists take quadrantic biopsies of the Barrett's segment in accordance with the BSG guidelines. ...
Conclusion The PMCB technique is a simple, reliable and costeffective EUS-FNA sample preparation technique that in our hands appears superior to conventional cytology preparations (83% diagnostic rate ...
doi:10.1136/gutjnl-2014-307263.130
fatcat:kpgrbgj6kjbvtd4hofxocwrvfa
Recent Advances in the Application of Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery
2020
Clinical and Experimental Otorhinolaryngology
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Machine and deep learning have been extensively applied in the field of otorhinolaryngology. However, performance varies and research challenges remain. ...
To present an up-to-date survey of the use of artificial intelligence (AI) in the field of otorhinolaryngology, with respect to opportunities, research challenges, and research directions.Methods. ...
MACHINE LEARNING AND DEEP LEARNING AI has fascinated medical researchers and practitioners since the advent of machine learning (ML) and deep learning (DL) (two forms of AI) in 1990 and 2010, respectively ...
doi:10.21053/ceo.2020.00654
pmid:32631041
fatcat:o2qye2o3tvd4hctbkxdd5j53jq
Exfoliative-cell diagnosis of central nervous system lesions
1951
A M A Archives of Neurology & Psychiatry
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with the para- nasal sinuses in that region. ...
The nasal fluid on May 25 was clear and colorless, with 2 lymphocytes per cubic millimeter and a sugar content of 72 mg. per 100 cc.; on May 26, the nasal fluid (2 cc.) was turbid and colorless with a ...
pmid:14846438
fatcat:ytjfw6l7snbhpfkqw3pzp2cxca
Proceedings of the 145th Semon Club, 23 May 2013, ENT Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
2014
Journal of Laryngology and Otology
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This technique can be used to treat conditions such as Crohn's disease. ...
Cytology findings Fine needle aspiration cytology revealed numerous mononuclear dendritic cells (lesional), with small lymphocytes and large multinucleate osteoclast-like giant cells (nonlesional), consistent ...
Patients usually present with symptoms secondary to bone marrow failure. Head and neck manifestations of this disease are rarely reported. ...
doi:10.1017/s0022215114001108
fatcat:5qca6phkmbce3fy45zjvezry5e
Fast Pre-Diagnosis of Neoplastic Changes in Cytology Images Using Machine Learning
2021
Applied Sciences
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A rich dataset of 1219 smeared sample images with 28,149 objects was gathered and annotated by the vet doctor to perform the experiments. ...
We present the experiment results to use the YOLOv3 neural network architecture to automatically detect tumor cells in cytological samples taken from the skin in canines. ...
convolutional neural network
classification
CNN
accuracy
83%
[4]
Nasal cytology with deep
learning techniques
classification
CNN
accuracy
94%
[5]
Automated Classification of
Lung Cancer ...
doi:10.3390/app11167181
fatcat:houtwfg7vbc6lkml2h5swrqwwq
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