Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning

Article Biochemical Research Methods

PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse

Thin Nguyen et al.

Summary: The manuscript introduces a novel method called PAN that transforms gene expression data into personalized networks efficiently. PAN classifiers show superior performance in predicting cancer relapse compared to gene features alone and outperform other graph-based classifiers. The study demonstrates the practical advantages of graph-based classification for high-dimensional genomic data.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)

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Article Multidisciplinary Sciences

Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classification

Namgyu Ho et al.

Summary: In this study, transfer learning of deep convolutional neural networks was applied to automatically classify the short axis slice range in cardiac MRI images for accurate quantification of LV ejection fraction and LV mass. Evaluation with unseen test data showed that fine-tuned VGG16 outperformed other CNNs in all considered evaluation categories, making it the most suitable choice for cardiac slice range classification.

SCIENTIFIC REPORTS (2021)

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Article Biology

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

Tawsifur Rahman et al.

Summary: Computer-aided diagnosis for fast and reliable detection of COVID-19 using a large X-ray dataset, various image enhancement techniques, and deep learning models has shown promising results in this study.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

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Article Computer Science, Theory & Methods