Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that algorithms can learn from it. Without this step, machine learning systems can't ...

The pancreas and tumor are represented by the colors orange and green, respectively. Given the weak label, we expand it to a lesion marker (teal green) and background markers (red). We then utilize ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

RNA localization is a crucial process for cellular function and can be quantitatively studied by single molecule FISH (smFISH). Here, we present an integrated analysis framework to analyze ...

Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...

Every Wednesday and Friday, TechNode’s Briefing newsletter delivers a roundup of the most important news in China tech, straight to your inbox. Sign up Back in the 1990s, people thought the internet ...