aiccm
用于分析和处理角膜共聚焦显微镜角膜神经图像的Python软件包
About
官方网站: www.aiccm.fun
如果对你的研究有帮助，请引用我们的论文：
Qiao Q, Cao J, Xue W, et al. Deep learning-based automated tool for diagnosing diabetic peripheral neuropathy. Digit Health. 2024;10:20552076241307573. Published 2024 Dec 25. doi:10.1177/20552076241307573
Setup
pip install aiccm
or
conda create -n aiccm python=3.10
conda activate aiccm
pip install -r requirements.txt
Use
1. 获取二值化/骨架化图像
import aiccm
# 读取你的CCM图像
# 支持的图像分辨率为应该为384*384或384*484，读取后统一转换为384*384
image = aiccm.load_ccm_image('test.jpg')
binary = aiccm.get_binary(image) # 二值化图像
skeleton = aiccm.get_skeleton(binary) # 骨架化图像
aiccm.show_image(binary)
aiccm.show_image(skeleton)
2. AiCCMetrics功能
import aiccm
import os
image = aiccm.load_ccm_image('test.jpg')
metrics_result = aiccm.get_metrics(image)
print(metrics_result)
aiccm.show_image(aiccm.get_bone_image(image))
aiccm.show_image(aiccm.get_body_image(image))
2 maintainers
Metadata
2 maintainers
Release files for aiccm 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| aiccm-1.1.0.tar.gz | 4.4 MB | Without provenance | Details for aiccm-1.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| aiccm-1.1.0-py3-none-any.whl | Python 3 | none | any | Details for aiccm-1.1.0-py3-none-any.whl |
Total release size: 8.7 MB
Release files / aiccm-1.1.0.tar.gz
| Download URL | aiccm-1.1.0.tar.gz |
|---|---|
| Size | 4.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
849804dd782ba39cd1ebfca82f28a2997c80bc2a5e1fccaa63075afd5059b7a9
|
|
BLAKE2b-256 checksum How to use checksums |
b2057b9d14ad16ffc74b554afa7c9b32c1bf756cf43a906439424a5a31990301
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.17
|
Release files / aiccm-1.1.0-py3-none-any.whl
| Download URL | aiccm-1.1.0-py3-none-any.whl |
|---|---|
| Size | 4.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1d57fc0532d25e623191f00d30f8e7c6d8556436eaf47a56f5d49ae77287faa2
|
|
BLAKE2b-256 checksum How to use checksums |
ef73b5d0f80cc8aa369bf7f3095b4f485030ce5373517373fce40a6774bbccbb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.17
|
Security for aiccm 1.1.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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