BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.
🔬 Detecção Histopatológica de Câncer a partir de imagens disponibilizadas pelos datasets PatchCamelyon (PCam) e Breast Cancer Histopathological Dataset (BreakHis) e a partir de dados tabulares (Breast Cancer Wisconsin Diagnostic Dataset).
Use Breakhis dataset
Exploratory analysis and visualization of a breast cancer histopathology image dataset, including binary and multiclass classification structures across multiple magnification levels.
A curated repository for the BreakHis Breast Cancer Histopathological Database, including folder structure, magnification levels, and class information for binary and multiclass classification tasks.
Add a description, image, and links to the breakhist-dataset topic page so that developers can more easily learn about it.
To associate your repository with the breakhist-dataset topic, visit your repo's landing page and select "manage topics."