Data augmentation encompasses a diverse array of methods designed to expand and diversify training datasets without the need for additional manual annotation. In computer vision, common approaches ...

Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach When working on ML applications such as object detection and NLP, it is ...

This is the first experiment of Image Segmentation for A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation based on the Tensorflow-Image-Segmentation-API, In this ...

This is the first experiment of Image Segmentation for A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation based on the Tensorflow-Image-Segmentation-API, In this ...

Abstract: In numerous applications, including image retrieval, brand monitoring, and counterfeit identification, the detection and categorization of logos play pivotal roles. This study proposes a ...

Abstract: Libraries such as TensorFlow provide various tools for implementing live data augmentation methods. However, in practical applications, common situations such as objects arriving at ...

The figures demonstrate that breast augmentation continues to be one of the most popular surgical procedures nationwide, with a 15% increase in the number performed in the past five years, and that ...