Abstract: Early-stage diagnosis of paddy diseases, based on initial visible symptoms, is crucial for minimizing chemical use and preventing the spread of disease. Automated paddy disease diagnosis can ...

Abstract: Image analysis based on biological morphological differences is an important development direction for classification and determination of planktonic algae. However, it has some shortages, ...

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

Details matter, and when it comes to sanctions implementation, governments need to provide the right details to the banks on ...

The difference between a virus and a worm is not semantic. A virus waits for a user to trigger it; a worm exploits ...

Contributed by J. Anthony Movshon; received March 9, 2022; accepted July 23, 2022; reviewed by Christos Papadimitriou and Qasim Zaidi This contribution is part of the special series of Inaugural ...

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In addition, extending the segmentation framework toward joint learning with detection or classification tasks, or incorporating structural priors from large-scale medical foundation models, ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

Midjourney says the scanner is meant to give people more data about their bodies to help them make better decisions about ...

Some of America's largest home insurers are pricing wildfire risk at dramatically different levels of precision - and the gap ...

This player segmentation model was developed by the Playing Standards working group after careful consideration of the different segmentation models currently being used in youth basketball, as well ...