深度学习在口腔颌面外科领域中应用研究进展OACSTPCD
Research progress in the application of deep learning in oral and maxillofacial surgery
过去几十年,人工智能飞速发展.深度学习作为人工智能的重要分支,因较传统算法更出色的特征提取能力被广泛应用于各专业领域.在医学领域,目前基于卷积神经网络的深度学习已在疾病的病理与影像学诊断、治疗方案的制定、预后预测等方面做出巨大贡献.文章就以卷积神经网络为主的深度学习在口腔颌面外科疾病诊疗中应用研究进展做一综述,并分析当前研究面临的挑战,以期为其进一步临床应用提供依据.
Artificial intelligence has advanced rapidly during the last few decades.Deep learning,as an important part of it,has been widely employed in various professional fields due to its superior feature extraction capabilities than tradi-tional algorithms.In the medical area,deep learning based on convolutional neural networks has made significant contri-butions to disease pathological and imaging diagnosis,treatment plan development,and prognosis prediction.This paper reviewed the research progress in the application of deep learning based on convolutional neural networks in the diagno-sis and treatment of oral and maxillofacial surgical diseases,and analyzed the challenges of the current research,aiming to provide a foundation for further clinical application.
茆晶晶;周忠伟
宁夏医科大学,宁夏口腔疾病研究重点实验室,宁夏银川 750004宁夏医科大学总医院口腔颌面外科,宁夏银川 750004
口腔医学
卷积神经网络口腔颌面外科深度学习影像分析
convolutional neural networksoral and maxillofacial surgerydeep learningimage analysis
《中国实用口腔科杂志》 2024 (004)
474-480 / 7
宁夏自然科学基金优秀青年项目(2021AAC05019);宁夏回族自治区重点研发计划(2023BEG02036)
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