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Artificial Intelligence (AI) is a branch of computer science that focuses on building systems or machines capable of performing tasks that typically require human intelligence. These tasks include lea…
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Hi, I noticed that you submitted a paper titled “Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers” to Medical Imaging with Deep Learning 2024. Do you plan to integ…
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### What happened?
I have a number of different NWB files that were created with the same code. Of these, [a particular dataset](https://dandiarchive.org/dandiset/000541/draft) takes an oddly long ti…
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## Feature Name
NVIDIA
## Feature Description
Research about NVIDIA
## NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) and its advancements …
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#### **Healthcare Capabilities in AI**
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**1. AI Model Development**
- **Capabilities:**
- Crafting bespoke AI models tailored for healthcare applications.
- Leveraging dee…
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@TAHIR0110 ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
NephroNet-VGG16 is a deep learning project aimed at classifying kidney di…
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https://doi.org/10.1101/094276
> Objective: The advent of Electronic Medical Records (EMR) with large electronic imaging databases along with advances in deep neural networks with machine learning …
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It is useful to know who is using scikit-image when planning funding proposals. I was looking a little into how one can extract information such as that presented in [GitHub's dependents view](https:/…
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https://arxiv.org/abs/1702.08014
> Semantic segmentation constitutes an integral part of medical image analyses for which breakthroughs in the field of deep learning were of high relevance. The lar…
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+1. Gatys, Leon, Alexander S. Ecker, and Matthias Bethge. "Texture synthesis using convolutional neural networks." Advances in Neural Information Processing Systems. 2015.
+2. Gatys, Leon A., Alexa…