In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...
Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...
A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...
1don MSN
Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.
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