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**Proceedings**
https://papers.nips.cc/book/advances-in-neural-information-processing-systems-30-2017
https://github.com/catpanda/NIPS_2017
**PaperLists (#Papers 679)**
https://www.dropbox.com/s…
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In this issue, I use the segmentation of the lesions on the spinal cord after cropping the images (issue #37 ).
The analysis of the segmentations accounts for the following:
- [x] Identifying a …
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Hi!
Let's bring the documentation to all the Spanish-speaking community 🌐
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/m…
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# 💻 cs
## 📚 mask (total: 9)
### 📃 Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- **Authors:** Xinxu Wei, Haohan Bai, Xianshi …
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Cropping around the spinal cord for training and inference could help with:
- class imbalance
- training/inference time
- memory issues
There are at least two approaches for cropping:
- segment…
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Both phantom and in-vivo B1+ and SNR maps would be easier to compare visually if they were co-registered. In the figure below we see an example of in-vivo SNR maps that are not co-registered, making v…
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It would be helpful to have access to the torchvision.models.detection.maskrcnn_resnet50_fpn via raster-vision.
Hi @lewfish
I've been slowly working through the code in my [fork](https://github…
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####VERSION - 1
## Key Features of ThinkChat
**Visual Chatbot Builder**: ThinkChat offers a user-friendly visual interface with over 34 building blocks, including text bubbles, images, videos, b…
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Hello,
I'm currently working on implementing a PSPNET (ResNet50) for segmentation. My goal is to process multimodal images with 4 channels encoded as a .png file with CYMK coding and output a singl…