Abstract: In the field of medical image analysis, medical image classification is one of the most fundamental and critical tasks. Current researches often rely on the off-the-shelf backbone networks ...

(ryzen-image) C:\Users\kfreidank\projects\amd_demos\RyzenAI-SW\example\image_classification>python model_quantization.py --model_input models\resnet50.onnx --model ...

Generative artificial intelligence enthusiasts are always on the lookout for brand-new AI models released for public testing ahead of their commercial launch, and in the past few weeks, they have ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

In healthcare and research environments, there's often a need to automatically separate medical images (X-rays, MRIs, CT scans, ultrasounds) from non-medical content (landscapes, objects, people) ...

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

As per a report, the company introduced a text-to-image generator dubbed I-RAG and a no-code platform called Miaoda. The new AI platforms were said to be showcased at the Baidu World Conference, the ...

1 Faculty of Informatics, The University of Fukuchiyama, Kyoto, Japan. 2 School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan. 3 School of Health Sciences, ...