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Harris-giki/BreastCancerClassification_CNN-DL

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A Convolutional Neural Network (CNN) model for classifying malignant and benign breast tumors using the INbreast dataset. This project implements deep learning techniques, including batch normalization, dropout regularization, and global average pooling, to enhance classification accuracy and prevent overfitting.

active 2025-01-31 → 2025-02-03 (UTC)

Complete coverage28,124 / 28,124 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-29 (UTC)
Events
17
Pushes
15
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 4 days from 2025-01-31 to 2025-02-03. Pushes: 15 total, peak 11 in a day. Pull requests: 0 total, peak 0 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.

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  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
Harris-giki151500

Recent activity

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No issue or PR events — this repo's activity is pushes only.

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.