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4476518

axios is winner.

axios is better than idc_breastcancer.

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open Graph Image
photo
open Graph Image
photo
name
scottherford/idc_breastcancer
name
axios/axios
is In Organization
No
is In Organization
Yes
description
Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error. The goal of this script is to identify IDC when it is present in otherwise unlabeled histopathology images. The dataset consists of approximately five thousand 50x50 pixel RGB digital images of H&E-stained breast histopathology samples that are labeled as either IDC or non-IDC. These numpy arrays are small patches that were extracted from digital images of breast tissue samples. The breast tissue contains many cells but only some of them are cancerous. Patches that are labeled "1" contain cells that are characteristic of invasive ductal carcinoma. For more information about the data, see https://www.ncbi.nlm.nih.gov/pubmed/27563488 and http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872.
description
Promise based HTTP client for the browser and node.js
homepage
homepage
https://axios-http.com
url
https://githubhelp/scottherford/idc_breastcancer
url
https://githubhelp/axios/axios
disk Usage
285
dis kUsage
15514
stargazer Count
7
stargazer Count
104346
forkCount
3
forkCount
10750
watcher Count
7
watcher Count
104346
created At
2018-12-03
created At
2014-08-19
license Info
license Info
MIT License
issues
0
issues
50
languages
1
languages
4
repository Topics
12
repository Topics
5
owner
scottherford
owner
axios
owner Avatar
photo
owner Avatar
photo
other
more
other
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