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Abstract: Despite the tremendous progress made by deep learning models in image semantic segmentation, they typically require large annotated examples, and increasing attention is being diverted to ...

What is it about? Evaluation of topology-aware image segmentation often exhibit flawed practices that skew results. In this work, we identify critical pitfalls in model evaluation that include ...

Abstract: Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogeneous scales of the objects. For example, on a whole slide image (WSI), the cross-sectional ...

Researchers have produced the first complete wiring diagram of an adult fruit fly brain, tracing roughly 139,255 neurons and ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

The technology has some promising applications, but is not ready for whole body cancer screening and will not replace other ...

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Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...

Key opportunities in the AI in pathology market include the rising demand for precision medicine, telepathology adoption, and digital transformation. Additionally, industry partnerships and AI ...

Tripo Studio is designed with Indian creators in mind: it's affordable, easy to use, and supports regional languages (coming ...

From a single football photo to a fully articulated collectible — Hi3D makes it possible without Blender, CAD software, or ...