by Fei.Hu1@ibm.com | Published November 15, 2018
This series shows how one team used Python, with packages such as NumPy and scikit-image, for tissue segmentation in whole-slide images. Using OpenSlide to scale down the slides to efficiently process images in the data set as well as NumPy arrays, they investigated a wide variety of image filters and settled on a combination and series of filters that demonstrated fast, acceptably accurate tissue segmentation for the data set.
Learn how one team developed algorithms to automatically identify tissues from big whole-slide images.
April 18, 2019
Artificial intelligenceCloud Foundry+
April 17, 2019
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