Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
[Advances in Application of Artificial Intelligence for Breast Cancer Radiotherapy].
0
Zitationen
3
Autoren
2026
Jahr
Abstract
Breast cancer is a highly prevalent malignant tumor among women worldwide, posing a serious threat to women's health, and radiotherapy plays a key role in its comprehensive treatment process. With the rapid development of artificial intelligence (AI) technology, its application in the field of breast cancer radiotherapy has been expanding, especially with deep learning as the representative technical means, which has brought new opportunities for enhancing radiotherapy accuracy and optimizing radiotherapy plans. Existing researches demonstrate that AI technology plays a crucial role in medical image processing and automated radiotherapy planning for breast cancer radiotherapy. By systematically reviewing relevant research findings and practical advancements while identifying key technical challenges, this paper will provide effective support for the deep integration and development of AI and breast cancer radiotherapy.
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 28.830 Zit.
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.526 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.749 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.104 Zit.