图3. Medical-CXR-VQA数据集与现有的ImageCLEF VQA-Med数据集的比较。(a) 报告对应于给定的胸部X光图像。(b) 我们构建的问题设置,包括异常性、存在性、视图、位置、级别和类型。(c) ImageCLEF VQA-MED问题的设计过于简单。 文件结构 The Medical-CXR-VQA dataset is currently under review in Physionet. The...
Qualitative results of P-TransUNet on four medical image segmentation datasets compared with other methods from [20]. From top to bottom: Kvasir, CVC-ClinicDB, GLAS, DSB Full size image Comparison on CVC-ClinicDB In Table 2, which only uses the CVC-ClinicDB dataset, the results showed that ...
In this paper, we focus on medical image classification tasks using DNNs. For a K-class (K≥ 2) classification problem, given a dataset {(xi,yi)}i=1,⋯,Nwith xi∈Rdas a normal example and yi∈{1,⋯,K}as its associated label, a DNN classifier h with parameter θ predicts the ...
Successful human-AI collaboration could greatly contribute to breast cancer mammographic screening. Here, the authors use a large-scale retrospective mammography dataset to simulate and compare five plausible AI-integrated screening pathways, finding optimal ways in which human-AI collaboration could be imp...
et al. LAION-5B: An open large-scale dataset for training next generation image-text models. In Proc. 35th International Conference on Neural Information Processing Systems (eds Koyejo, S. et al.) 25278–25294 (2022). Palatucci, M., Pomerleau, D., Hinton, G. & Mitchell, T. M. Zero...
Results from this experiment are reported in theMasked Textcolumns of the tables inFindings: Unimodal vs MultimodalandFindings:Findings: Binary vs. Multilabel. MMBT's improvement over the unimodal image-only model in this scenario is only observed when tested on the'impression'labeled dataset. ...
-Learn to read chest x-rays from an existing dataset of images and text with minimal human effort -To generate text description about disease in image as well as their context (with pre-defined grammar, thus not multiple-instance-learning) ...
MedICaT is a dataset of medical images, captions, subfigure-subcaption annotations, and inline textual references. Instructions for access are provided here. Figures and captions are extracted from open access articles in PubMed Central and corresponding reference text is derived fromS2ORC. ...
Table 2. Summary of the multi-modal medical image segmentation datasets. DatasetTrainValidationTestSegmentation TaskModalityImage Size Brats2012 35 N/A 15 Brain tumor T1, T1C, T2, Flair 160×216×176176×176×216 Brats2013 35 N/A 25 Brain tumor T1, T1C, T2, Flair 160×216×176 176×176...
In this section, we first introduce the medical image datasets, experiment settings, and evaluation metrics in our experiment. Dataset statement In the experiment, our approach was evaluated on three publicly available medical image datasets and one clinical tongue image dataset. All the experiments we...