Using Mammography and Histopathology (ResNet for classification and UNet for detection)

Carcinogenesis - Karsinogenez

Classification of Benign and Malignant Breast Cancer using Supervised Machine Learning Algorithm Logistic Regression

This project implements a K-Nearest Neighbors (KNN) classifier to detect breast cancer using a dataset of tumor characteristics. The model is trained and evaluated based on accuracy, confusion matrix, and F1 score. It aims to assist in identifying malignant and benign tumors effectively.

Breast Cancer Detection using Deep Neural Network: In these project I worked on sklearn datasets and predicted "Malignant" or "Benign" on breast cancer dataset with 94% Accuracy.

Glioblastoma - Glioblastom

Pancreatic Adenocarcinoma - Pankreas Adenokarsinomu

Cervix Squamous Cell Carcinoma - Serviks Skuamöz Hücreli Karsinom

This Website is basically detect Metastasis and Malignant Cancer.

Lung Squamous Cell Carcinoma, tru-cut biopsy - Akciğer Skuamöz Hücreli Karsinom, tru-cut biyopsi

Extramural Venous Invasion - Ekstramural Venöz İnvazyon

Extramural Venous Invasion - Ekstramural Venöz İnvazyon