OncoVision is a deep learning–based medical image analysis system that detects cancer from medical images (histopathology / X-ray / MRI depending on dataset) using a Convolutional Neural Network (CNN).

Clinically inspired multi-modal breast cancer prediction system with transparent, reliable, and interpretable AI insights.

OncoVision is a deep learning project for brain tumor MRI classification using Convolutional Neural Networks (CNNs). It focuses on detecting and classifying brain tumors into categories such as Glioma, Meningioma, Pituitary, and No Tumor.

Online repository for Oncovision code and other stuf

🩺 Machine Learning–powered Breast Cancer Identifier built with Python & Scikit-learn. This project leverages supervised learning models to classify tumors as benign or malignant using the Breast Cancer Wisconsin dataset. Includes evaluation metrics, visualizations, and model comparison.

No description available

No description available

oncovision flask app

No description available

No description available

This project focuses on the detection of breast cancer using machine learning techniques. The goal is to classify breast cancer as either malignant or benign based on medical data.We apply machine learning algorithms, preprocess data, and evaluate model performance to assist in early detection and diagnosis.

Deep Learning-based Multi-class Segmentation for Breast Ultrasound Images

No description available

OncoVision is a deep learning project focused on predicting brain tumors from MRI scans. Using advanced image processing and neural networks, the model aims to provide accurate early detection of brain tumors, aiding in faster diagnosis and treatment planning.

No description available

No description available

Cancer detection ML project

An AI project made to detect cancerous tumors based on X-Ray images.

No description available

Ensemble-based breast cancer detection using EfficientNet and ResNet with FastAPI and explainable AI

No description available

OncoVision is a machine learning tool for diagnosing breast cancer by classifying tumors as benign or malignant using clinical features from FNA images. It utilizes the WBCD dataset to support early, accurate detection and improve patient outcomes.

No description available

A full-stack skin cancer detection app powered by deep learning

No description available

No description available

Training for OncoVision's model

The backend for OncoVision a web app for lung nodule detection assitence

No description available

OncoVision is a Python ML pipeline for detecting multiple cancers (Breast, Lung, Skin, Brain, Blood, Bone) from medical images. It uses PCA for feature reduction, SVM/RandomForest/KNN with hyperparameter tuning, a soft-voting ensemble for accuracy, plus single-image prediction and visual evaluation via confusion matrices.