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收藏分享 收藏 Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applicationsAlsallal M, Habeeb MS, Vaghela K, Malathi H, Vashisht A, Sahu PK, et al. 人工智能在胃癌中的应用：机器学习和深度学习应用的系统综述. Abdom Radiol (NY). (2025). doi: 10.1007/s00261-025-05181-7
Alsallal, Muna; Habeeb, Marwah Shaker; Vaghela, Krunal; Malathi, H.; Vashisht, Alisha; Sahu, Prabhat Kumar; Singh, Devendra; Al-Hussainy, Ali Fawzi; Aljanaby, Idris A.; Sameer, Hayder Naji; Athab, Zainab H.; Adil, Mohaned; Yaseen, Ahmed; Farhood, Bagher 分享 收藏 A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights一种食管癌分级的新框架：结合CT成像、放射组学、可重复性和深度学习见解Alsallal, Muna; Ahmed, Hanan Hassan; Kareem, Radhwan Abdul; Yadav, Anupam; Ganesan, Subbulakshmi; Shankhyan, Aman; Gupta, Sofia; Joshi, Kamal Kant; Sameer, Hayder Naji; Yaseen, Ahmed; Athab, Zainab H.; Adil, Mohaned; Farhood, Bagher 分享 收藏 Enhanced lung cancer subtype classification using attention-integrated DeepCNN and radiomic features from CT images: a focus on feature reproducibility基于注意力整合的DeepCNN和CT图像放射组学特征的增强型肺癌亚型分类：重点关注特征可重复性Alsallal, Muna; Ahmed, Hanan Hassan; Kareem, Radhwan Abdul; Yadav, Anupam; Ganesan, Subbulakshmi; Shankhyan, Aman; Gupta, Sofia; Joshi, Kamal Kant; Sameer, Hayder Naji; Yaseen, Ahmed; Athab, Zainab H.; Adil, Mohaned; Farhood, Bagher 分享 收藏 分享 收藏 
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