International Journal of Biomedical Imaging First Published: 30 October 2011 Abstract Full text PDF References Research Article Open Access Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis Paul Wighton, Tim K. Lee, Greg Mori, Harvey Lui, David I. McLean, M. ...
In this chapter we present the usage of back scattered laser light for biomedical imaging and sensing. The back scattered laser light forms a self-interference pattern called secondary speckle pattern. By applying various machine learning approaches to process the spatial and the temporal variations ...
Machine learning (ML) plays an important role in the medical imaging field, including medical image analysis and computer-aided diagnosis, because objects such as lesions and organs may not be represented accurately by a simple equation; thus, medical pattern recognition essentially require “learning ...
Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review 来自 Semantic Scholar 喜欢 0 阅读量: 98 作者:M Li,R Guo,K Zhang,Z Lin,A Abubakar 摘要: Biomedical imaging is a relevant noninvasive technique aimed at generating an image of the biological structure under ...
会议名称:《Machine learning in medical imaging》 | 2013年 6.Learning-Boosted Label Fusion for Multi-atlas Auto-Segmentation 机译:学习促进标签融合以实现多图集自动细分 作者:Xiao Han 会议名称:《Machine learning in medical imaging》 | 2013年 关键词: atlas-based segmentation; machine learning; ...
A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities BiomedParse is a foundation model for image analysis that uses a joint learning approach to jointly conduct segmentation, detection and recognition and offer state-of-the-art performance acros...
The wide adoption of AI in biomedical research raises concerns about misuse risks. Trotsyuk, Waeiss et al. propose a framework that provides a starting point for researchers to consider how risks specific to their work could be mitigated, using existing ethical frameworks, regulatory measures and ...
Aims and scope Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems, including but not limited to: Learning Problems: Cl...
Recent developments in research on artificial intelligence (AI) in medicine deal with the analysis of image data such as Magnetic Resonance Imaging (MRI) scans to support the of decision-making of medical personnel. For this purpose, machine learning (ML) algorithms are often used, which do not...
Figure 2. Papers by country on machine learning/deep learning for the medical field, indexed by SCOPUS. To obtain a picture of the Italian scientific research in ML/DL in medicine, we carried out a systematic survey of the state of the art in Italy, according to the latest trends depicte...