Digital image correlation based on convolutional neural networks

Optics and Lasers in Engineering, Год журнала: 2022, Номер 160, С. 107234 - 107234

Опубликована: Авг. 29, 2022

Язык: Английский

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Development of a high-performance label-free electrochemical immunosensor for early cancer diagnosis using anti-CEA/Ag-MOF/GO/GCE nanocomposite

Environmental Research, Год журнала: 2023, Номер 238, С. 117178 - 117178

Опубликована: Сен. 20, 2023

Язык: Английский

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Label-free macrophage phenotype classification using machine learning methods

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Март 30, 2023

Abstract Macrophages are heterogeneous innate immune cells that functionally shaped by their surrounding microenvironment. Diverse macrophage populations have multifaceted differences related to morphology, metabolism, expressed markers, and functions, where the identification of different phenotypes is an utmost importance in modelling response. While markers most used signature classify phenotypes, multiple reports indicate morphology autofluorescence also valuable clues can be process. In this work, we investigated as a distinct feature for classifying six namely: M0, M1, M2a, M2b, M2c, M2d. The was based on extracted signals from multi-channel/multi-wavelength flow cytometer. To achieve identification, constructed dataset containing 152,438 cell events each having response vector 45 optical fingerprint. Based dataset, applied supervised machine learning methods detect phenotype specific fingerprint vector, fully connected neural network architecture provided highest classification accuracy 75.8% compared simultaneously. Furthermore, restricting number experiment, proposed framework produces higher accuracies, averaging 92.0%, 91.9%, 84.2%, 80.4% pool two, three, four, five respectively. These results potential intrinsic with method being quick, simple, cost-effective way accelerate discovery phenotypical diversity.

Язык: Английский

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IDRM: Brain tumor image segmentation with boosted RIME optimization

Computers in Biology and Medicine, Год журнала: 2023, Номер 166, С. 107551 - 107551

Опубликована: Сен. 30, 2023

Язык: Английский

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Beyond the beat: A pioneering investigation into exercise modalities for alleviating diabetic cardiomyopathy and enhancing cardiac health

Current Problems in Cardiology, Год журнала: 2023, Номер 49(2), С. 102222 - 102222

Опубликована: Ноя. 23, 2023

Язык: Английский

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