Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data
Medical imaging is fundamental to modern healthcare, and its widespread use has resulted
in the creation of image databases, as well as picture archiving and communication systems …
in the creation of image databases, as well as picture archiving and communication systems …
Overcoming the limits of cross-sensitivity: Pattern recognition methods for chemiresistive gas sensor array
As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …
Retrieval from and understanding of large-scale multi-modal medical datasets: a review
Content-based multimedia retrieval (CBMR) has been an active research domain since the
mid 1990s. In medicine visual retrieval started later and has mostly remained a research …
mid 1990s. In medicine visual retrieval started later and has mostly remained a research …
Machine learning in medical imaging
Medical imaging is an indispensable component of modern healthcare, playing a critical role
in diagnosis, staging, and the assessment of treatment response for most major medical …
in diagnosis, staging, and the assessment of treatment response for most major medical …
[HTML][HTML] Adapting content-based image retrieval techniques for the semantic annotation of medical images
The automatic annotation of medical images is a prerequisite for building comprehensive
semantic archives that can be used to enhance evidence-based diagnosis, physician …
semantic archives that can be used to enhance evidence-based diagnosis, physician …
A graph-based approach for the retrieval of multi-modality medical images
In this paper, we address the retrieval of multi-modality medical volumes, which consist of
two different imaging modalities, acquired sequentially, from the same scanner. One such …
two different imaging modalities, acquired sequentially, from the same scanner. One such …
多模态检索在医学领域的研究综述.
丁国辉, 张琦, 房士超, 李青, 孙小宇… - Journal of …, 2023 - search.ebscohost.com
随着计算机与大数据技术在医学领域中的迅速应用以及医疗信息存储标准的逐渐完善,
医学数据呈爆炸式增长. 医学数据由于其自身特点而呈现出多模态形式, 且这些多模态数据往往 …
医学数据呈爆炸式增长. 医学数据由于其自身特点而呈现出多模态形式, 且这些多模态数据往往 …
[PDF][PDF] Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014.
In this paper we present the strategies that were designed and applied by the Institute of
Biomedical Engineering and Technology (BMET) team to the liver image annotation task of …
Biomedical Engineering and Technology (BMET) team to the liver image annotation task of …
Short-term solar flare prediction using image-case-based reasoning
JF Liu, F Li, HP Zhang, DR Yu - Research in Astronomy and …, 2017 - iopscience.iop.org
Solar flares strongly influence space weather and human activities, and their prediction is
highly complex. The existing solutions such as data based approaches and model based …
highly complex. The existing solutions such as data based approaches and model based …
Efficient PET-CT image retrieval using graphs embedded into a vector space
Combined positron emission tomography and computed tomography (PET-CT) produces
functional data (from PET) in relation to anatomical context (from CT) and it has made a …
functional data (from PET) in relation to anatomical context (from CT) and it has made a …