[AIIM] Recall & Precision results of the UTA7 statistical analysis.

A web-based application for classifying breast ultrasound images into benign, malignant, or normal categories. Built with Flask for the web interface and TensorFlow for image classification. Dockerized for easy deployment and consistent environments. Includes comprehensive documentation, sample images, and a demonstration video

📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide.

Machine learning in breast cancer neoadjuvant treatment response prediction.

Breast cancer detection using machine learning with deployment of model

A website for spreading awareness against Breast Cancer.

Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.

Initiated within the frame of MLPC Pipo Competition, it is a web application based AI assistant useful for cancerologists to determine whether patients suffering or likely to suffer from breast cancer. This is done in 02 steps : Mammography and Biopsy .

En este repositorio se encuentra el Trabajo de Fin de Máster de la Titulación Máster en Ciencia de Datos por la Universitat Oberta de Catalunya.

🍬 Low-Fidelity Prototypes

Hackathon Project in partnership with ITLabs. Deadline Monday 15th November 2022 @ 3pm.

This is a curated list of clinics offering free breast cancer screening during the Breast Cancer Awareness Month of October.

This is a curated list of clinics offering free breast cancer screening during the Breast Cancer Awareness Month of October.

Predicts whether the type of breast cancer is Malignant or Benign

📄 National Science Summit 2019 CDSS Poster

📉 Data Visualisation

Study on Breast Cancer - CDC