Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen

Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen

The aim of this study was to develop a deep learning-based algorithm for fully automated spleen segmentation using CT images and to evaluate the performance in conditions directly or indirectly affecting the spleen (e.g., splenomegaly, ascites). For this, a 3D U-Net was trained on an in-house datase...

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Main Authors: Aymen Meddeb, Tabea Kossen, Keno K. Bressem, Bernd Hamm, Sebastian N. Nagel
格式: 文件
语言:English
出版: MDPI AG 2021-12-01
丛编:Tomography
主题:
automated segmentation
deep learning
image processing
diagnostic techniques and procedures
diagnosis
在线阅读:https://www.mdpi.com/2379-139X/7/4/78

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https://www.mdpi.com/2379-139X/7/4/78

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