In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

XRP (CRYPTO: XRP) is heading into 2026 with a different story than most people expected. For a long time, it was seen as just another speculative crypto asset but that narrative is shifting. XRP is ...

Abstract: Currently, the need to adopt sustainability in the use of inputs in crop production is crucial in meeting out growing demand for food and assets and factors such as climate change and ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

Abstract: Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries ...