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 ...

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Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.

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

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

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) ...