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Adenomas from individuals with pathogenic biallelic variants in the MUTYH and NTHL1 genes demonstrate base excision repair tumour mutational signature profiles similar to colorecta...
Published 2025-02-01“…Therefore, testing adenomas may improve the identification of biallelic cases and facilitate variant classification, ultimately enabling opportunities for CRC prevention.…”
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Impact of facial tattoos and paintings on face recognition systems
Published 2021-11-01Get full text
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Recognition of fabric composition of clothing in an image in e-commerce using neural networks
Published 2023-09-01Get full text
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Stress Monitoring in Pandemic Screening: Insights from GSR Sensor and Machine Learning Analysis
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network
Published 2025-02-01Get full text
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108
Impact of Initial Heart Rate, Diastolic Pressure, and Pulse Pressure on Prognostic Outcomes in Heart Failure Patients with Mildly Reduced Ejection Fraction
Published 2025-01-01“…The ≤ 77 bpm group was further divided by pulse pressure (≤ 37 mmHg and > 37 mmHg), and the > 77 bpm group by diastolic pressure (≤ 63 mmHg, 63– 100 mmHg, and > 100 mmHg). …”
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Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105
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Outcomes of Type I Tympanoplasty using a Cartilage Shield Graft
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Predicting conversion of Alzheimer’s disease based on multi-modal fusion of neuroimaging and genetic data
Published 2024-12-01“…The results showed that the classification performances of our method was better than other state-of-the-art methods, and the accuracy rate for the classification of pMCI and sMCI reached 94.37%. …”
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Study on Intelligent Classing of Public Welfare Forestland in Kunyu City
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A Novel Approach for Objective Assessment of White Blood Cells Using Computational Vision Algorithms
Published 2018-01-01“…Finally, the results obtained with the validation through the coefficient of determination showed an overall accuracy of 97.9% in the classification of the white blood cells per individual, while the precision in the classification by type of cell evidenced results in 93.4% for lymphocytes, 97.37% for monocytes, 79.5% for neutrophils, 73.07% for eosinophils, and a 100% in basophils with respect to the professional. …”
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Emotion recognition from speech with StarGAN and Dense‐DCNN
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Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition
Published 2020-01-01Get full text
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Sentiment Analysis of International and Foreign Chinese-Language Texts with Multilevel Features
Published 2022-01-01Get full text
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