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Deep Learning-based Image Analysis Model for Diagnosing Thyroid Carcinoma in Fine Needle Aspiration Cytology (FNAC) Images

Gopinath Balasubramanian
2020 Bioscience Biotechnology Research Communications  
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  
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/s41379-021-00754-5 pmid:33707677 fatcat:ksevjdzg4rbjhpkpeemo6prexu

Abstracts from USCAP 2021: Cytopathology (158-237)

2021 Laboratory Investigation  
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

Christos Fragopoulos, Abraham Pouliakis, Christos Meristoudis, Emmanouil Mastorakis, Niki Margari, Nicolaos Chroniaris, Nektarios Koufopoulos, Alexander G. Delides, Nicolaos Machairas, Vasileia Ntomi, Konstantinos Nastos, Ioannis G. Panayiotides (+3 others)
2020 Journal of Thyroid Research  
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]

Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar
2020 arXiv   pre-print
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  
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

Manuel Galli, Italo Zoppis, Gabriele De Sio, Clizia Chinello, Fabio Pagni, Fulvio Magni, Giancarlo Mauri
2016 Advances in Bioinformatics  
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

William Huang, Chunli Zhao, Xiujun Fan
2020 International Journal of Innovative Research in Medical Science  
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]

Jonathan de Matos, Alceu de Souza Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich
2019 arXiv   pre-print
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  
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  
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  
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  
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

Jasleen K Grewal
2020
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

The Editors
2021 Journal of Biological Research  
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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