Results 11 to 20 of about 7,383 (190)

"Atypical Glandular Cells" on Cervical Cytology: Correlation Between Glandular Cell Component Volume and Histological Follow-Up. [PDF]

open access: yesDiagn Cytopathol
ABSTRACT Background Atypical glandular cells (AGC) in cervical cytology, as defined by the Bethesda System, indicate nuclear atypia beyond reactive changes but without definitive features of malignancy. Although clinically significant because it prompts follow‐up procedures, no quantitative threshold exists for AGC diagnosis.
Terzioglu HG, Aragao A, Barroeta JE.
europepmc   +2 more sources

Assessment of the efficiency and accuracy of an artificial intelligence assistive system in the diagnosis of Pap cervical atypical glandular cell cytology. [PDF]

open access: yesCancer Cytopathol
Abstract Background A diagnosis of atypical glandular cells (AGC) on Papanicolaou (Pap) slides is rare but has clinically significant findings associated with high‐risk cervical and endometrial lesions. The authors evaluated the efficiency and diagnostic performance of an artificial intelligence (AI)‐assisted platform (Riuqian WSI‐2400; with the ...
Zhang X   +11 more
europepmc   +2 more sources

Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring

open access: yesSensors, 2022
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components. Over the years, signal processing and machine learning algorithms have been combined to achieve this. Many publications and
Maria Kaselimi   +4 more
doaj   +1 more source

Comparison between artificial neural network and random forest for effective disaggregation of building cooling load

open access: yesCase Studies in Thermal Engineering, 2021
Detailed monitoring of loads can provide sufficient information about buildings and help in improving the operation of energy systems. Non-intrusive load monitoring (NILM) has become popular owing to its low cost and lack of disturbance in the occupied ...
Ziwei Xiao   +4 more
doaj   +1 more source

In-Depth Assessment of Cytologic Features in 106 Cervical Papanicolaou Tests of Transgender Male Patients on Testosterone: An Institutional Experience. [PDF]

open access: yesDiagn Cytopathol
ABSTRACT Background There is a decreased cervical cancer screening rate among female to male transgender (FTMTG) patients. Data on the distinct cytologic features present in cervical cytology (CC) of those on testosterone therapy is limited. Methods An 2017–2023 electronic database search identified CC specimens from a cohort of FTMTG patients on ...
Ferreira JE   +6 more
europepmc   +2 more sources

Energy Disaggregation Using Elastic Matching Algorithms [PDF]

open access: yes, 2020
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)In this article ...
Mporas, Iosif   +2 more
core   +2 more sources

Neural NILM [PDF]

open access: yesProceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015
Energy disaggregation estimates appliance-by-appliance electricity consumption from a single meter that measures the whole home's electricity demand. Recently, deep neural networks have driven remarkable improvements in classification performance in neighbouring machine learning fields such as image classification and automatic speech recognition.
Kelly, J, Knottenbelt, WJ
openaire   +3 more sources

Comparison of the results of clinical and morphological methods of research in HPV-associated diseases of the cervix (retrospective study)

open access: yesГинекология, 2021
Aim. To conduct a retrospective analysis and evaluate the morphological methods for HPV-related intraepithelial lesions detection in women of reproductive age. Materials and methods.
Djamilya I. Attoeva   +5 more
doaj   +1 more source

Neural Fourier Energy Disaggregation

open access: yesSensors, 2022
Deploying energy disaggregation models in the real-world is a challenging task. These models are usually deep neural networks and can be costly when running on a server or prohibitive when the target device has limited resources. Deep learning models are
Christoforos Nalmpantis   +2 more
doaj   +1 more source

Robust energy disaggregation using appliance-specific temporal contextual information [PDF]

open access: yes, 2020
An extension of the baseline non-intrusive load monitoring approach for energy disaggregation using temporal contextual information is presented in this paper.
Mporas, Iosif   +2 more
core   +3 more sources

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