Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers
Abstract Objective The objective of this study is to develop an automated method for segmenting spleen computed tomography (CT) images using a deep learning model. This approach is intended to address the limitations of manual segmentation, which is known to be susceptible to inter-observer variabil...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-02-01
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| Series: | Journal of Cancer Research and Clinical Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s00432-025-06117-w |
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