Abstract: Accurate segmentation of kidney ultrasound (KUS) images is essential for various diagnostic procedures. However, challenges such as variability in image quality and the need for real-time ...

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...

Quants change noisy market data into signals. They use factor models, statistical filtering, and back testing. Then, they ...

Though rare disease diagnosis is a particularly hard challenge for AI (as it is for humans), popular language models ChatGPT and Gemini show promising performance when trained on diagnostic cases from ...

Abstract: In this paper, we address the dual problems of retrieval and part (Region Of Interest (ROI)) matching, especially in large-scale image datasets. At the heart of our solution lies a ...