8 天前 - … multi-modal images is a fundamental and essential problem in various applications,
including medical imaging… of infrared and visible images of power equipment has become a …

9 天前 - … An advanced machine learning technique will be developed to enhance the
retrieval accuracy; last but not the least, sketch-based medical image retrieval will be …

9 天前 - … Multimodal study A study with the largest sample size (n = 312) by Liang et al.,
employed a multimodal approach investigating both whole-brain fractional ALFF (fALFF) and …

10 天前 - … The majority of studies (n = 73) used single-modality neuroimaging data, while the
remaining used multi-modal input data. In a multi-modality approach, the combination of MRI …

11 天前 - … Methods: The DAFH model enhances retrieval performance by integrating multi-modality
medical imaging … Utilizing multimodal medical image data from the Cancer Imaging …

15 天前 - … Predicting human scanpaths on medical images presents unique challenges
compared to natural images due to the presence of abnormal regions with varying shapes, sizes, …

22 天前 - … semantic image retrieval (see section 3.3). All remaining examinations were then
split into unlabelled training (85%) and validation (15%) datasets to facilitate text-vision model …

22 天前 - … In the heart valve center, an extended diagnostic evaluation with multimodal
imaging is followed by a case discussion by the interdisciplinary cardiac team, with individual …

23 天前 - … New imaging techniques hold great promise for improving … and developing a
personalized medicine approach. Here, … , the potential for utilizing multimodal approaches to study …

24 天前 - … Treatment for fungal balls causing ureteral and renal obstruction is complex and
often necessitates a multimodal approach involving systemic antifungal therapy, drainage …