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Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images
Segmentation of head and neck cancer (HNC) primary tumors on medical images is an essential, yet labor-intensive, aspect of radiotherapy. PET/CT imaging offers a unique ability to capture metabolic and anatomic information, which is invaluable for tumor detection and border definition. An automatic...
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| Pubblicato in: | Head Neck Tumor Segm (2020) |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7929493/ https://ncbi.nlm.nih.gov/pubmed/33724743 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-67194-5_10 |
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