Automatic Tumor Segmentation by Means of Deep Convolutional U-Net With Pre-Trained Encoder in PET Images
To assist physicists in developing radiation therapy treatment plans and in evaluating the effects of radiotherapy, an accurate and automatic tumor segmentation approach in positron emission tomography (PET) images is highly demanded in the clinical practice. In the present paper we investigate and...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9119426/ |