Datasets of stained images depicting both normal and diseased tissues are valuable for training machine learning models, which can help doctors assess tricky cases and mitigate personal biases ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

A system that generates images by inducing random fluctuations in a laser beam could slash energy use compared with standard ...

Proprietary algorithm positions IzoView to redefine global standards and expectations for image quality and safety in breast CT - ...

A new study finds that many popular image datasets used to train AI models are contaminated with test images or ...

The complexity and size of software systems has increased to the extent that traditional manual development and maintenance ...

Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and ...