-
Hi there,
We notice that the number of the internal validation dataset you mention in the figure has 1564 scans, while your proposed validation set in HF and in the paper has 1304 cases/3039 scans.…
-
Hi, Niftynet team,
I'm trying to train a 2D unet with every single slice of a 3D CT scan.
According to your instruction,
https://niftynet.readthedocs.io/en/dev/window_sizes.html
"setting spa…
-
## 🚀 Feature
Crop labels to exclude background while showing thumbnails in layer list.
## Motivation
For radiological images, segmentation of tumor occupies a lot fewer voxels compared to the und…
-
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI):
A Completed Reference Database of Lung Nodules on CT Scans
**Purpose**: The development of computer-aided …
-
First issue in scaling up:
Looks like one needs to analyze all the photos to train with, to get preprocess() factors like in this example:
http://blog.outcome.io/pytorch-quick-start-classifying-…
-
## Description
This issue will be used to regroup most/all the relevant methods used for vertebral labeling.
## Awesome list
| Method name | Link | Open source | Task | Region | Modality | De…
-
## Action Requested
Add the Diagnostic Imaging field to the eCR Viewer.
>eCR Viewer
>> Clinical Info
>>> Diagnostics and Vital Signs
>>>> Diagnostic Imaging
## Acceptance Criteria
Diagnostic Imaging …
-
*Sent by Google Scholar Alerts (scholaralerts-noreply@google.com). Created by [fire](https://fire.fundersclub.com/).*
---
###
###
### [HTML] [Echocardiogram vector embeddings via R3D transformer …
-
Maybe we can generate a medical image dataset by parsing the covid-papers that are related to diagnosis techniques using CT scans, x-rays images, etc. Usually, the papers results section is charged wi…
-
HI!
I would like to thank you first for such a good and updated repo regarding Vision Transformers.
I want to know if I can use 3d medical images to pretrain the ViT using 3D medical images?. D…