A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...

A research team has developed a dual-UAV cooperative color correction system (CoF-CC) that integrates synchronized drone flights with a ColorChecker reference chart for real-time calibration.

In computer vision applications, Cyberway's self-developed high-performance image recognition algorithms have been successfully deployed in visual inventory counting scenarios, enabling automated ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive ...

Narsing Rao Dyavani's journey is not one of simply writing code, but of reimagining the very foundations of our digital world ...

Narsing Rao Dyavani's journey is not one of simply writing code, but of reimagining the very foundations of our digital world ...