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Deep Learning-based Image Analysis Model for Diagnosing Thyroid Carcinoma in Fine Needle Aspiration Cytology (FNAC) Images
2020
Bioscience Biotechnology Research Communications
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The diagnosis system is used to identify the cancerous and normal thyroid cells in Fine Needle Aspiration Cytology (FNAC) photographs. ...
The proposed Alexnet and VGG16 models are implemented using deep learning based Transfer Learning (TL) to process multi-stained FNAC images. ...
MATERIAL AND METHODS Acquiring Thyroid FNAC images: Fine needle aspiration cytology is a partially invasive procedure for determining cancerous and normal state of the thyroid nodules under study. ...
doi:10.21786/bbrc/13.11/14
fatcat:2tcs7w6mbrbx7iaulg3tj3cgfi
Abstracts from USCAP 2021: Cytopathology (158-237)
2021
Modern Pathology
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The specimen collected for test was nasopharyngeal swab. The majority of the patients had COVID-19 test performed multiple times, ranging from 1-9 times. ...
There were 49 males (60%) and 33 females (40%) with an age range of 27-83 years old. 68 (82%) patients received RT-PCR COVID-19 test as send-out testing initially and later in house. ...
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Conclusions: Machine learning algorithm(s) can be used to accurately diagnose thyroid fine needle aspiration. ...
doi:10.1038/s41379-021-00754-5
pmid:33707677
fatcat:ksevjdzg4rbjhpkpeemo6prexu
Abstracts from USCAP 2021: Cytopathology (158-237)
2021
Laboratory Investigation
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The specimen collected for test was nasopharyngeal swab. The majority of the patients had COVID-19 test performed multiple times, ranging from 1-9 times. ...
There were 49 males (60%) and 33 females (40%) with an age range of 27-83 years old. 68 (82%) patients received RT-PCR COVID-19 test as send-out testing initially and later in house. ...
Categories
Conclusions: Machine learning algorithm(s) can be used to accurately diagnose thyroid fine needle aspiration. ...
doi:10.1038/s41374-021-00552-2
pmid:33707712
fatcat:vj45c7l4vbgdrnj6ipd4d55lfu
Radial Basis Function Artificial Neural Network for the Investigation of Thyroid Cytological Lesions
2020
Journal of Thyroid Research
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This study investigates the potential of an artificial intelligence (AI) methodology, the radial basis function (RBF) artificial neural network (ANN), in the evaluation of thyroid lesions. ...
Each specimen was digitized; on these images, nuclear morphology features were measured by the use of an image analysis system. ...
Conflicts of Interest e authors declare that they have no conflicts of interest. ...
doi:10.1155/2020/5464787
pmid:33299540
pmcid:PMC7707952
fatcat:yngeq4pdsjclnfl7xcda3lhhue
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited
[article]
2020
arXiv
pre-print
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Cytology is the branch of pathology which deals with the microscopic examination of cells for diagnosis of carcinoma or inflammatory conditions. ...
We take a short tour to 17 types of cytology and explore various segmentation and/or classification techniques which evolved during last three decades boosting the concept of automation in cytology. ...
Acknowledgement This work is partially supported by SERB (DST), Govt. of India sponsored project ( order no. EEQ/2018/000963 dated 22/03/2019). ...
arXiv:2003.07529v1
fatcat:eossjujftzflbfnfhbsw55tlta
Abstracts
2018
Virchows Archiv
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Overall the key pathological features of the primary tumours are retained over time, supporting their use in drug predictive assays. ...
These samples were prepared using an enrichment method via 4 mm punch macrodissection of formalin-fixed paraffin-embedded (FFPE) tissues. ...
84% of laboratories performs revalidations, in 29% even for small protocol changes. ...
doi:10.1007/s00428-018-2422-1
pmid:30120593
fatcat:rxb6dv66m5de5ocytkqgtk5cba
A Support Vector Machine Classification of Thyroid Bioptic Specimens Using MALDI-MSI Data
2016
Advances in Bioinformatics
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The model is able to provide an accurate discriminatory capability using only 20 out of 144 features, resulting in an increase of the model performances, reliability, and computational efficiency. ...
In this paper we show how an accurate classification of thyroid bioptic specimens can be obtained through the application of a state-of-the-artmachine learningapproach (i.e. ...
Currently, this pathology is diagnosed through cytomorphological evaluation of smears obtained after an ultrasound-guided fine needle aspiration biopsy (FNAB). ...
doi:10.1155/2016/3791214
pmid:27293431
pmcid:PMC4886047
fatcat:deu4w2h6cbevzkaa65xdzgddya
Clinical Applications of Artificial Intelligence on Accuracy of Cancer Prediction, Detection, and Diagnosis
2020
International Journal of Innovative Research in Medical Science
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The goal of this review is to discuss the progress of AI and deep learning in clinical procedures and applications in recent years and evaluate the efficacy of certain AI methods for tumor diagnosis, prognosis ...
In particular, the ability for deep learning machines to determine the risk, survivability, and prognosis of tumors based on medical cancer databases has intrigued healthcare researchers seeking to improve ...
Conflicts of Interest The authors declare no conflict of interest. ...
doi:10.23958/ijirms/vol05-i10/978
fatcat:5o5qdykez5bondyrxpwlnd2qbe
Histopathologic Image Processing: A Review
[article]
2019
arXiv
pre-print
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We also bring a study case of breast cancer classification using a mix of deep and shallow machine learning methods. ...
One of the ways to accelerate such an analysis is by using Computer Aided Diagnosis systems. ...
Biopsies take more time to provide a result due to the acquiring procedure (e.g. fine needle aspiration or surgical open biopsy), the tissue processing (creation of the slide with the staining process) ...
arXiv:1904.07900v1
fatcat:7pd7jgrvfvamtdzagh6lexo3l4
Abstracts from USCAP 2020: Informatics (1522-1590)
2020
Laboratory Investigation
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The Philips IntelliSite Pathology Solution and Panoptiq platform were used for digital pathology and digital cytology, respectively. ...
Quantifying pathologist participation in Medicare services may be informative for the prediction of future utilization and payments. ...
DIA can provide an efficient and standardized approach for quantifying stromal CD8+ TIL density. ...
doi:10.1038/s41374-020-0393-8
pmid:32139865
fatcat:wecibsafmzhzjjgxqvxalr3xn4
2018 Southern Regional Meeting
2018
Journal of Investigative Medicine
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A CAT scan showed the presence of an ARSA that was compressing the upper oesophagus. We discovered that an ARSA compressed the upper oesophagus, which caused recurrent aspiration pneumonia. ...
The recurrent RML pneumonia and the remote history of dysphagia suggested significant pulmonary aspiration. A video fluoroscopy showed compression of the oesophagus. ...
The patient was referred to an advanced endoscopist at an outside hospital for endoscopic ultrasound (EUS) with fine needle aspirate. ...
doi:10.1136/jim-2017-000697.609
fatcat:f6cstiavr5ghrbsajgymjje2xy
2018 Southern Regional Meeting
2018
Journal of Investigative Medicine
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A CAT scan showed the presence of an ARSA that was compressing the upper oesophagus. We discovered that an ARSA compressed the upper oesophagus, which caused recurrent aspiration pneumonia. ...
The recurrent RML pneumonia and the remote history of dysphagia suggested significant pulmonary aspiration. A video fluoroscopy showed compression of the oesophagus. ...
The patient was referred to an advanced endoscopist at an outside hospital for endoscopic ultrasound (EUS) with fine needle aspirate. ...
doi:10.1136/jim-2017-000697.1
fatcat:ro2yual7zvfgzdeucsalwgsg54
American Association of Neuropathologists, Inc. Abstracts of the 97th Annual Meeting June 10-13, 2021 St. Louis, Missouri
2021
Journal of Neuropathology and Experimental Neurology
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Such stem cell model of FTD could also be used as a cellular platform for high-throughput drug screening assays to identify potential therapeutic targets in FTD. ; 5 BioSkryb As humans age, cells undergo ...
Frontotemporal dementia (FTD) is a heterogeneous group of early-onset dementias leading to an impairment of behavior, language and cognition. ...
We are implementing various deep learning workflows using the annotated dataset to develop NFT detection models for individual annotators and ensembles (combination of annotators) and to generate WSI-level ...
doi:10.1093/jnen/nlab042
pmid:34087938
fatcat:rgowg3kxi5ghpbylpalr2rxkj4
Utility of machine learning approaches for cancer diagnosis and analysis from RNA sequencing
2020
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We develop SCOPE, a machine-learning method that uses RNA-Seq profiles of tumours for automated cancer diagnosis. ...
In this work we review an ongoing precision oncology trial and identify the impact of sequencing-based approaches on cancer diagnosis. ...
Steven Jones, for the supportive environment and mentorship he has provided me throughout my degree. ...
doi:10.14288/1.0394043
fatcat:w5s5l4nlb5aylguqosmfcuhami
93rd National Congress of the Italian Society of Experimental Biology | Palermo, Italy, 22-25 April 2021
2021
Journal of Biological Research
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This abstract book contains the abstracts presented at the 93rd National Congress of the Italian Society of Experimental Biology; Palermo, Italy, 22-25 April 2021. ...
Education and Lifelong Learning" (OP ANAD-EDBM). ...
The present research was supported partly by the program: "Support for researchers with emphasis on young researchers -cycle B" in the framework of the Operational Program "Human Resources Development, ...
doi:10.4081/jbr.2021.9820
fatcat:4yqk4yufsnayvanfiztusrj5iq
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