Skip to content

imSanko/Cancer-Cell-Image-Generation-Using-Vanilla-GAN

View on GitHub ↗Related repositories →

GAN-Based Cell and Slide Generation This project implements a Generative Adversarial Network (GAN) to generate synthetic cell images and medical slides. The dataset consists of real images of cells, divided into a 60:20:20 split for training, validation, and testing.

active 2024-10-07 → 2024-10-07 (UTC)

Complete coverage28,046 / 28,046 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-26 (UTC)
Events
18
Pushes
2
Pull requests
8
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-10-07 to 2024-10-07. Pushes: 2 total, peak 2 in a day. Pull requests: 8 total, peak 8 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
imSanko10280

Recent activity

Latest issues, pull requests and releases

  • Pull request#10imSanko2024-10-07 15:18
  • Pull request#10imSanko2024-10-07 15:18
  • Pull request#9imSanko2024-10-07 15:17
  • Pull request#8imSanko2024-10-07 15:13
  • Pull request#7imSanko2024-10-07 15:12
  • Pull request#7imSanko2024-10-07 15:12
  • Pull request#6imSanko2024-10-07 15:11
  • Pull request#6imSanko2024-10-07 15:03

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.