دورية أكاديمية
142P AI-based approaches to predict early response in unresectable LA-NSCLC patients undergoing chemoradiation
| العنوان: | 142P AI-based approaches to predict early response in unresectable LA-NSCLC patients undergoing chemoradiation |
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| المؤلفون: | Greco, C., Ippolito, E., Fiore, M., Aurelia, I., Miele, M., Trodella, L.E., Tacconi, C., Sicilia, R., Tortora, M., Soda, P., Ramella, S. |
| المصدر: | ESMO Open ; volume 9, page 102729 ; ISSN 2059-7029 |
| بيانات النشر: | Elsevier BV |
| سنة النشر: | 2024 |
| المجموعة: | ScienceDirect (Elsevier - Open Access Articles via Crossref) |
| مصطلحات موضوعية: | Cancer Research, Oncology |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1016/j.esmoop.2024.102729 |
| الإتاحة: | https://doi.org/10.1016/j.esmoop.2024.102729Test https://api.elsevier.com/content/article/PII:S2059702924004976?httpAccept=text/xmlTest https://api.elsevier.com/content/article/PII:S2059702924004976?httpAccept=text/plainTest |
| حقوق: | https://www.elsevier.com/tdm/userlicense/1.0Test/ ; http://creativecommons.org/licenses/by-nc-nd/4.0Test/ |
| رقم الانضمام: | edsbas.1582EED1 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.esmoop.2024.102729 |
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