Deep learningAtrous convolutionArtificial intelligence (AI) is the capability of training machines to perform detection, cognitive, and diagnostic tasks on a par with humans. AI has evolved to the point that it can perform some medical diagnosis tasks similarly to human experts. We have reviewed ...
Deep learning has demonstrated remarkable performance in the medical domain, with accuracy that rivals or even exceeds that of human experts. However, it h
Deep learning (DL) has the potential to transform medical diagnostics. However, the diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of DL algorithms to identify pathology in medical imaging. Searches were conducted in Medline and EMBASE up to January 2020....
Four years later,deep learningremains the most promising and widely used ML technique for radiology in particular and disease detection in general. It comes as no surprise as diagnostic imagingprevailsin clinical diagnosis andimage recognitionis a natural fit for deep learning algorithms. That’s what...
Deep learning (DL) has the potential to transform medical diagnostics. However, the diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of DL algorithms to identify pathology in medical imaging. Searches were conducted
指出了相关领域存在的问题并指出了未来可能改进的方向。未来的方向主要包括:federated learning, benchmark dataset collection, 以及utilizing domain subject knowledge as priors。 结论:目前最新的深度学习技术在医疗图像分析上取得了巨大的成功,保证了高准确率、高效率、鲁棒性和可测量性。但目前的技术应用依赖于大规模...
C.H. Explainable AI for medical imaging: Deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI. In Proceedings of the SPIE Medical Imaging 2020: Computer-Aided Diagnosis; International Society for Optics and Photonics: Bellingham, WA, USA, 2020; Volume 11314, p...
deep learning may be applied in cancer diagnosis, prognosis and treatment management. We also assess the current limitations and challenges for the application of deep learning in precision oncology, including the lack of phenotypically rich data and the need for more explainable deep learning models....
Advanced Medical Diagnosis and Prediction Using Deep Learning Journal of Applied Information ScienceHashim, HasnaMathew, Nayama GraceSabira, K.Nizamudeen, A.Jacob, Jithin
论文链接:[2303.12484] Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions (arxiv.org) 摘要: 近年来,深度学习发展迅速,并在广泛的应用中取得了最先进的性能。然而,训练模型通常需要昂贵且耗时地收集大量标注数据。在医学影像分析(MIA)领域尤其如此,数据有限且标注成本高昂。因...