Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...
Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...
The automotive image signal processor market sees opportunities in enhancing ADAS, meeting stringent safety norms, and advancing towards autonomous and software-defined vehicles. Key prospects include ...
FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
Key market opportunities in camera image signal processors include optimizing AI-driven processing for diverse conditions, meeting demands in automotive, medical, and smartphone sectors, and ...
Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...
This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
Abstract: Aiming at the situation of dermatoscopic images with fuzzy lesion boundaries, variable morphology and high similarity to background, this paper proposes a skin lesion segmentation algorithm ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback