Come dive into one of the curiously delightful conversations overheard at National Geographic’s headquarters, as we follow explorers, photographers, and scientists to the edges of our big, weird, beautiful world. Hosted by Peter Gwin and Amy Briggs.
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Image-based assessment of extracellular mucin in colorectal cancer
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Manage episode 327482550 series 1455694
Content provided by Springer Nature. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Springer Nature or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Dr. Inti Zlobec, professor of digital pathology at the Institute of Pathology in the University of Bern, discusses her team’s recent publication in Modern Pathology on the role of image analysis in assessing area of extracellular mucin and predicting consensus molecular subtypes (CMS) in colorectal carcinoma. The utilized deep learning algorithm had an excellent agreement with pathologists’ estimates of mucin areas. Coupled with MSI, mucinous area estimates may predict CMS classification using only histopathology. This highlights the great potential of Image based classifier of molecular subtypes of colon cancer.
…
continue reading
535 episodes
MP3•Episode home
Manage episode 327482550 series 1455694
Content provided by Springer Nature. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Springer Nature or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Dr. Inti Zlobec, professor of digital pathology at the Institute of Pathology in the University of Bern, discusses her team’s recent publication in Modern Pathology on the role of image analysis in assessing area of extracellular mucin and predicting consensus molecular subtypes (CMS) in colorectal carcinoma. The utilized deep learning algorithm had an excellent agreement with pathologists’ estimates of mucin areas. Coupled with MSI, mucinous area estimates may predict CMS classification using only histopathology. This highlights the great potential of Image based classifier of molecular subtypes of colon cancer.
…
continue reading
535 episodes
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