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Development and Validation of Deep-Learning Models for Abdominal CT Organ Segmentation in Children Using Internal and Diverse Public Datasets

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Content provided by American Roentgen Ray Society. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by American Roentgen Ray Society 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://ro.player.fm/legal.

In this podcast, Shruti Kumar, MD, discusses the study by Somasundaram et al. on the development and validation of deep-learning models for abdominal CT organ segmentation in children.

ARTICLE TITLE - Deep-Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets

  continue reading

99 episoade

Artwork
iconDistribuie
 
Manage episode 422933770 series 2590544
Content provided by American Roentgen Ray Society. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by American Roentgen Ray Society 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://ro.player.fm/legal.

In this podcast, Shruti Kumar, MD, discusses the study by Somasundaram et al. on the development and validation of deep-learning models for abdominal CT organ segmentation in children.

ARTICLE TITLE - Deep-Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets

  continue reading

99 episoade

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