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I'm running the training phase of the code brain_tumor_segmentation_models.py,but i find the accuracy is very low,at about 0.2. I run the code with python2.7,and I have increased the number of patches…
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Dear Kamnitsask.
I used your software available at https://github.com/Kamnitsask/deepmedic. In this regard, I trained BRATS 2015 and ISLES 2015. I evaluated the BRATS Testing 2015 and SISS Testing …
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## http://purl.obolibrary.org/obo/NCIT_C6958
- **Pr(G)**=0.41212121212121205 CONFIDENCE=0.3333333333333328 Success:true
- **SIZE**=3 (1 new axioms)
[img](target/img-NCIT_C6958.png)
- MEMBER: NCIT_C…
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Hi Issam,
Thanks for sharing your project. Please help me in getting the ResUnet.hdf5 pre-trained file.
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Here are some minor grammar changes I'd recommend in the overview page
A Radiologist's view of Brain Tumors:
Brain tumours __are__ an uncontrolled, unnatural growth__,__ and division of brain tiss…
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It would be great if someone can come up with a step-by-step procedure of creating a imdb structure (say for three classes that supports multi-class classification) and using a pre-trained model to do…
ghost updated
6 years ago
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Hi,
Here is how I am trying to create a fusion plot:
Input `fusions` object attached here: https://drive.google.com/drive/folders/1bhujaLojqN7kkLooH0bmTOyS7Kg69OQV
```
library(GenomicRanges)…
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May need to break into another AnatomicalPhenotype to capture this information.
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I am new in Keras. I am trying to use your code in brain tumor segmentation but I confused about the dice metric. I don't know actually this code measures the dice for each image and then measures the…
ghost updated
6 years ago
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Hi
Dear Mr. Kamnitsas
thanks for your great work and support. Now I studied your high quality papers "DeepMedic for Brain Tumor Segmentation" and "Efficient Multi-Scale 3D CNN with Fully Connected …