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https://github.com/aadya940/cellsegmentationapp

This App is a means to deploy a U-Net Model trained on 2018 Data Science Bowl Images to segment Cell Nuclei. Lab Workers / Doctors / Researchers can use this app to segment Cell Nuclei from Microscopic Images.

https://github.com/aadya940/cellsegmentationapp

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

This App is a means to deploy a U-Net Model trained on 2018 Data Science Bowl Images to segment Cell Nuclei. Lab Workers / Doctors / Researchers can use this app to segment Cell Nuclei from Microscopic Images.

Basic Info
  • Host: GitHub
  • Owner: aadya940
  • Language: Python
  • Default Branch: master
  • Size: 20.3 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

Cell Nuclei Segmentation with U-Net

Model trained at : https://www.kaggle.com/code/aadyac/u-net-reimplementation-by-aadya-chinubhai.

Steps to run the app on localhost : bash git clone https://github.com/aadya940/CellSegmentationApp.git cd CellSegmentationApp/package pip install -r requirements.txt cd .. streamlit run app.py

Steps to use the app :

0) Run the App 1) Drag and Drop Image to the file Uploader 2) Click 'Segment' 3) You're All Set 👍

Owner

  • Name: Aadya Chinubhai
  • Login: aadya940
  • Kind: user

UG. Student at Ahmedabad University.

GitHub Events

Total
Last Year

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 12
  • Total Committers: 1
  • Avg Commits per committer: 12.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Aadya Chinubhai 7****0 12

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Dependencies

package/requirements.txt pypi
  • keras ==2.11.0
  • numba ==0.56.4
  • numpy ==1.22.3
  • scikit-image ==0.19.3
  • tensorflow-intel ==2.11.0