(singa) branch dev-postgresql updated: update TED_CT_Detection README.md

[jo...@apache.org]

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joddiyzhang pushed a commit to branch dev-postgresql
in repository https://gitbox.apache.org/repos/asf/singa.git


The following commit(s) were added to refs/heads/dev-postgresql by this push:
     new 5b7347f9 update TED_CT_Detection README.md
5b7347f9 is described below

commit 5b7347f96de28b2701f0c18971a4061a290df4f3
Author: joddiy <jo...@gmail.com>
AuthorDate: Sat Dec 28 11:56:09 2024 +0800

    update TED_CT_Detection README.md
---
 examples/healthcare/application/TED_CT_Detection/README.md | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/examples/healthcare/application/TED_CT_Detection/README.md b/examples/healthcare/application/TED_CT_Detection/README.md
index ee0e3b42..f23e2404 100644
--- a/examples/healthcare/application/TED_CT_Detection/README.md
+++ b/examples/healthcare/application/TED_CT_Detection/README.md
@@ -2,10 +2,15 @@
 
 We have successfully applied the idea of prototype loss in various medical image classification task to improve performance, for example detection thyroid eye disease from CT images. Here we provide the implementation of the convolution prototype model in Singa. Due to data privacy, we are not able to release the CT image dataset used. The training scripts `./train.py` demonstrate how to apply this model on cifar-10 dataset.
 
+
 ## run
 
-At Singa project root directory `python examples/healthcare/application/TED_CT_Detection/train.py`
+1. Download `healthcare` directory then change to the `healthcare/application/TED_CT_Detection` directory.
+2. Command.
+```bash
+python train.py -dir pathToDataset
+```
 
 ## reference
 
-[Robust Classification with Convolutional Prototype Learning](https://arxiv.org/abs/1805.03438)
+[Robust Classification with Convolutional Prototype Learning](https://arxiv.org/abs/1805.03438)
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