Deep ensemble learning enables highly accurate classification of stored red blood cell morphology

Article Computer Science, Software Engineering

A hybrid approach for efficient multi-classification of white blood cells based on transfer learning techniques and traditional machine learning methods

Emine Cengil et al.

Summary: The article presents a study on multi-classification of white blood cells, utilizing two different transfer learning methods, and demonstrates two different combinations of classifiers.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2022)

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Article Computer Science, Hardware & Architecture

Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging

Kadir Yildirim et al.

Summary: Prostate cancer is the most common cancer among men, and accurate diagnosis is commonly achieved through digital rectal examination and prostate-specific antigen tests. To reduce unnecessary biopsies, multiparametric magnetic resonance imaging (mpMRI) is used. However, there is low-level agreement and subjectivity in the interpretation of mpMRI scores. This study proposes a hybrid model to accurately interpret mpMRI examinations and predict scores, achieving a 96.09% accuracy rate.

COMPUTERS & ELECTRICAL ENGINEERING (2022)

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Article Multidisciplinary Sciences

Microfluidic capillary networks are more sensitive than ektacytometry to the decline of red blood cell deformability induced by storage

Nathaniel Z. Piety et al.

Summary: The study compared the sensitivity of capillary networks versus ektacytometry in assessing the deformability of red blood cells during hypothermic storage. Results showed that capillary networks were more sensitive in detecting differences between storage conditions and overall decline in RBC deformability compared to ektacytometry.

SCIENTIFIC REPORTS (2021)

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Article Hematology

Rapid clearance of storage-induced microerythrocytes alters transfusion recovery

Camille Roussel et al.

Summary: This study found that a high proportion of SMEs in RBC concentrates from healthy volunteers correlated with poor transfusion recovery. When perfused through a human spleen, 15% and 61% of long-stored RBCs and SMEs were cleared within 70 minutes, respectively. High initial proportion of SMEs also correlated with high retention of RBCs by perfused human spleen.

BLOOD (2021)

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Article Hematology

Has the trend of declining blood transfusions in the United States ended? Findings of the 2019 National Blood Collection and Utilization Survey

Jefferson M. Jones et al.

Summary: The study found that in 2019, there was a 5.1% decrease in RBC collection and a 2.5% increase in RBC transfusion in the United States. Between 2017 and 2019, there was a decrease in platelet and plasma distributions, while platelet transfusions increased by 15.8% and plasma transfusions decreased by 8.0%.

TRANSFUSION (2021)

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Review Computer Science, Theory & Methods

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Laith Alzubaidi et al.

Summary: Deep learning has become the gold standard in the machine learning community, widely used in various domains and capable of learning massive data. Through a comprehensive survey, a better understanding of the most important aspects of deep learning is provided.

JOURNAL OF BIG DATA (2021)

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Review Health Care Sciences & Services

Deep learning-enabled medical computer vision

Andre Esteva et al.

Summary: The past decade has seen unprecedented progress in artificial intelligence, particularly in the field of medicine. Modern computer vision techniques powered by deep learning are revolutionizing medical applications, including imaging and video analysis. However, there are challenges to overcome for the real-world clinical deployment of these technologies.

NPJ DIGITAL MEDICINE (2021)

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Article Hematology