AIMC Topic: Machine Learning

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Academic machine learning researchers' ethical perspectives on algorithm development for health care: a qualitative study.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: We set out to describe academic machine learning (ML) researchers' ethical considerations regarding the development of ML tools intended for use in clinical care.

Deep Learning and Machine Learning Algorithms for Retinal Image Analysis in Neurodegenerative Disease: Systematic Review of Datasets and Models.

Translational vision science & technology
PURPOSE: Retinal images contain rich biomarker information for neurodegenerative disease. Recently, deep learning models have been used for automated neurodegenerative disease diagnosis and risk prediction using retinal images with good results.

Accurate diagnosis of COVID-19 from lung CT images using transfer learning.

European review for medical and pharmacological sciences
OBJECTIVE: In this study, it is aimed to classify data by feature extraction from tomographic images for the diagnosis of COVID-19 using image processing and transfer learning.

Geometry-complete perceptron networks for 3D molecular graphs.

Bioinformatics (Oxford, England)
MOTIVATION: The field of geometric deep learning has recently had a profound impact on several scientific domains such as protein structure prediction and design, leading to methodological advancements within and outside of the realm of traditional m...

Expanding the coverage of spatial proteomics: a machine learning approach.

Bioinformatics (Oxford, England)
MOTIVATION: Multiplexed protein imaging methods use a chosen set of markers and provide valuable information about complex tissue structure and cellular heterogeneity. However, the number of markers that can be measured in the same tissue sample is i...

Deep centroid: a general deep cascade classifier for biomedical omics data classification.

Bioinformatics (Oxford, England)
MOTIVATION: Classification of samples using biomedical omics data is a widely used method in biomedical research. However, these datasets often possess challenging characteristics, including high dimensionality, limited sample sizes, and inherent bia...

Skin patch based makeup finish assessment technique by deep neural network.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
BACKGROUND: Skin color and texture play a significant role in influencing impressions. To understand the influence of skin appearance and to develop better makeup products, objective evaluation methods for makeup finish have been explored. This study...