Frontier Airlines is executing a strategic shift toward loyalty revenues, higher-yield travelers, and measured capacity growth. Read more on ULCC stock here.

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

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Abstract: Mathematical morphology is very attractive for automatic image segmentation because it efficiently deals with geometrical descriptions such as size, area, shape, or connectivity that can be ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Google's Gemini 2.5 introduces conversational image segmentation for precise object identification. AI can now answer complex queries, such as identifying relationships between objects. Gemini 2.5 ...

This is an experimental project to detect Multiple-Myeloma from some pieces of tiled-images created from a large 4K image, by using our Tensorflow-Slightly-Flexible-UNet. Anubha Gupta, Ritu Gupta, ...

As one of the popular deep learning methods, deep convolutional neural networks (DCNNs) have been widely adopted in segmentation tasks and have received positive feedback. However, in segmentation ...

To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...