共 79 条
[1]
Estay J(2017)Effect of Clinical Experience on Accuracy and Reliability of Radiographic Caries Detection Int J Odontostomatol 3 347-52
[2]
Bersezio C(2021)Artificial intelligence in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks Ann Transl Med 9 763-29
[3]
Arias R(2019)A guide to deep learning in healthcare Nat Med 1 24-210
[4]
Fernández E(2017)Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer JAMA 318 2199-8
[5]
Oliveira Junior OB(2019)Detecting and interpreting myocardial infarction using fully convolutional neural networks Physiol Meas 1 15001-41
[6]
Ferrarezi de Andrade M(2018)Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success J Am Coll Radiol 15 504-606
[7]
Zheng L(2020)Basics of Deep Learning: A Radiologist’s Guide to Understanding Published Radiology Articles on Deep Learning Korean J Radiol 1 33-92
[8]
Wang H(2019)Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide Radiology 3 590-884
[9]
Mei L(2020)The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review Dentomaxillofac Radiol 1 20190107-832
[10]
Chen Q(2020)Clinical applications and performance of intelligent systems in dental and maxillofacial radiology: A review Imaging Sci Dent 2 81-13