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Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28365
Abstract: Deep learning (DL)‐based automatic segmentation models can expedite manual segmentation yet require resource‐intensive fine‐tuning before deployment on new datasets. The generalizability of DL methods to new datasets without fine‐tuning is not well characterized.
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Keywords:
segmentation algorithms;
algorithms automated;
generalizability deep;
learning segmentation ... See more keywords
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Published in 2022 at "F1000Research"
DOI: 10.12688/f1000research.52026.2
Abstract: Deep learning has revolutionized the automatic processing of images. While deep convolutional neural networks have demonstrated astonishing segmentation results for many biological objects acquired with microscopy, this technology's good performance relies on large training datasets.…
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Keywords:
amount;
learning segmentation;
segmentation;
strategy ... See more keywords
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Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2023.868471
Abstract: Purpose The study aims to create a model to predict survival outcomes for non-small cell lung cancer (NSCLC) after treatment with stereotactic body radiotherapy (SBRT) using deep-learning segmentation based prognostication (DESEP). Methods The DESEP model…
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Keywords:
segmentation based;
desep;
recistv1;
learning segmentation ... See more keywords