Mis-segmentationPutamenVoxel-based morphometryThe aims of this study were to demonstrate an association between changes in the signal intensity of the putamen on three-dimensional T1-weighted magnetic resonance images (3D-T1WI) and mis-segmentation, using the voxel-based morphometry (VBM) 8 toolbox....
The aims of this study were to demonstrate an association between changes in the signal intensity of the putamen on three-dimensional T1-weighted magnetic resonance images (3D-T1WI) and mis-segmentation, using the voxel-based morphometry (VBM) 8 toolbox. The sagittal 3D-T1WIs of 22 healthy vo...
Most research on novel techniques for 3D Medical Image Segmentation (MIS) is currently done using Deep Learning with GPU accelerators. The principal challenge of such technique is that a single input can easily cope computing resources, and require prohibitive amounts of time to be processed. Distr...
This project was originally developed for our two previous worksWORD(MedIA2022) andWSL4MIS(MICCAI2022). If you use this project in your research, please cite the following works: @article{luo2022scribbleseg, title={Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamicall...
The later risk is caused by the information asymmetry, which is a natural property of any communication process, see Christozov, Chukova, Mateev (2009a), we call it risk of misinforming. Due to the strong impact of the information asymmetry on the markets and specifically on the completion ...
SegmentationMISWorkflowIn this paper, a Bayesian method for fusing multiple visual cues is proposed for MIS (Minimally Invasive Surgery) workflow segmentation. The proposed technique investigates the characteristics of four basic events in MIS including idle, retraction, cauterisation and suturing. Visual ...
MIS自动分词切分歧义交集型歧义组合型歧义It is a trend that MIS provide a Chinese indexing interface,its main difficulty is how to let the computer comprehend Chinese In this paper we set up a word segmentation system of Chinese intelligent indexing interface and propose its word segmentation ...
In the evaluation using the COVID-19 CT Lung and Infection Segmentation dataset, the left and right lung segmentation results demonstrate that MIS-Net achieves a Dice Similarity Coefficient (DSC) of 97.61. Similarly, in the Liver Tumor Segmentation Challenge 2017 pub...
This has led researchers to propose interactive image segmentation techniques where a medical expert can interactively correct the output of a DNN to the desired accuracy. However, these techniques often need separate training data with the associated human interactions, and do not generalize to ...
misinformingProviding the appropriate information in the right format to the right group of potential customers of a particular product is the natural objective in market segmentation. This paper explores measures for quantifying the risk of misinforming and their usage for market studies, leading to ...