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I am currently trying 2D segmentation and am running against a wall. The program takes a very long time at the CNN_postprocessing, namely at the refactoring to the original size (while otherwise being…
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Create the helmet detection model using OpenCV, CNN and image segmentation methods to detect the helmets from the traffic in real time.
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Objective:
Fire is an abnormal event that can quickly cause significant injury and property damage in a very concise time frame. The best possible way to reduce the wreckage caused by fire is to det…
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DPR Description:
While the document doesn't explicitly mention a DPR (Development Progress Report), the entire file functions as a project proposal for AI systems in radiology. A DPR in this context …
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I am trying to understand the technique used in Vista3D for maintaining segmentation mask consistency between the slices of the 3D volume. As I understood from the Algorithm 2 on supervoxel generation…
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- [ ] Figure out what we will look at.
- [ ] create model
- [ ] decide on the model type
- [ ] create model
- [ ] port it to js for the client
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Looking at the database statistics lately, it looks like that there are significantly more image validations than image annotations. The main reasons for that are probably:
* annotations are more …
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Hi @wangf3014 ,
Thanks for the great work. I have gone through the paper. Results seems very promising and exciting to implement. I am just wondering whether have you got a chance to compare all the …
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I am currently looking for CNN training tools for windows with c++. dlib seems to be a good choice as the example clearly illustrate how ResNet is implemented.
However, I am looking for application…
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2.5D Architecture --> patch extraction performed from three anatomical planes.
Currently, we are only using patches extracted from the axial plane, which is optimal for axial data (e.g. T2-ax, T2st…