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Thanks for your exsellent work.
I have tried tutorial_quickstart.ipynb. I run follow cell.
```
# abdomen CT
img = "assets/img_demo.png"
bbox_prompt_demo = BboxPromptDemo(medsam_model)
bbox_promp…
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I saw the json file, but I don't know how to use it.
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Hello！Your work is great！
I want to know that is a 24G NVIDIA Geforce RTX 3090 GPU enough to run all the experiments? I encounter the OOM problem.
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Trying to generate some CT data, what am i missing?
```
MONAI version: 1.3.1+27.g8cfbcbab
Numpy version: 1.24.3
Pytorch version: 1.12.1
MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_M…
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All args used:
``` r
library(bench)
library(dplyr)
library(northstar)
hcpcs = c("39503", "43116", "33935", "11646", "70170", "V5299")
state = "GA"
locality = "99"
mac = "10212"
…
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When launching the viewer (V3) with a JSON data source which includes 'PatientID' and 'PatientName', these are not displayed anywhere in the viewer, and neither other demographic patient data such as …
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New term request Abdominal imaging: appendicitis (seidel_190306194826): Ultrasound; CT; MRI; inflammation of the appendix; abdomen UMLS: 0003615
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New term request Spleen biopsy: necrosis (elthat_100424153159): Splenic infarction UMLS: 1096363