Gigon Bae – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2023-06-12T21:11:11Z http://www.open-lab.net/blog/feed/ Gigon Bae <![CDATA[Accelerating Digital Pathology Workflows Using cuCIM and NVIDIA GPUDirect Storage]]> http://www.open-lab.net/blog/?p=59311 2023-01-23T22:43:15Z 2023-01-05T19:00:00Z Whole slide imaging (WSI), the digitization of tissue on slides using whole slide scanners, is gaining traction in healthcare. WSI enables clinicians in...]]>

Whole slide imaging (WSI), the digitization of tissue on slides using whole slide scanners, is gaining traction in healthcare. WSI enables clinicians in histopathology, immunohistochemistry, and cytology to: This post explains how GPU-accelerated toolkits improve the input/output (I/O) performance and image processing tasks. More specifically, it details how to: Time savings…

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Gigon Bae <![CDATA[Enhanced Image Analysis with Multidimensional Image Processing]]> http://www.open-lab.net/blog/?p=51017 2023-01-24T21:45:14Z 2022-07-27T19:00:00Z Image data can generally be described through two dimensions (rows and columns), with a possible additional dimension for the colors red, green, blue (RGB)....]]>

Image data can generally be described through two dimensions (rows and columns), with a possible additional dimension for the colors red, green, blue (RGB). However, sometimes further dimensions are required for more accurate and detailed image analysis in specific applications and domains. For example, you may want to study a three-dimensional (3D) volume, measuring the distance between two…

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Gigon Bae <![CDATA[Accelerating Scikit-Image API with cuCIM: n-Dimensional Image Processing and I/O on GPUs]]> http://www.open-lab.net/blog/?p=29953 2023-06-12T21:11:11Z 2021-04-20T17:13:02Z Overview cuCIM is a new RAPIDS library for accelerated n-dimensional image processing and image I/O. The project is now publicly available under a permissive...]]>

cuCIM is a new RAPIDS library for accelerated n-dimensional image processing and image I/O. The project is now publicly available under a permissive license (Apache 2.0) and welcomes community contributions. In this post, we will cover the overall motivation behind the library and some initial benchmark results. In a complementary post on the Quansight blog, we provide guidelines on how existing…

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