The objective of this work is to provide an organized and labeled database containing pairs of images composed of a magnetic resonance imaging (MRI) image and its synthetic ultrasound counterpart.

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 and tools ...