1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
Breast cancer classification from Mammogram images using Deep CNN with Keras and TensorFlow.
This project aims to develop a medical image processing library using a service-oriented architecture.
Projeto de Iniciação Tecnológica - UFCSPA - Desenvolvimento de um software para o acompanhamento da evolução temporal do câncer de mama a partir de imagens de mamografia e dados clínicos.
Projet de fin de module apprentissage profond, construit comme un mini-projet hospitalier: pipeline d'entrainement CPU-first en PyTorch, API FastAPI, interface web de demonstration, gouvernance des donnees et logique de mise en production.
Agente de IA para análisis de mamografías usa arquitectura ensemble para orquestar modelos opensource para analisis de mamografias (GMIC, NYU/DMV-CNN y GLAM). Incluye inferencia Web, procesamiento Batch RSNA, Docker, PostgreSQL, MinIO, trazabilidad, configuración de pesos/thresholds y evaluación reproducible.
An explainable AI research framework for preliminary mammogram analysis, breast-lesion localization, and molecular exploration of breast cancer.
Deep learning model for mammogram classification. This repository provides a Convolutional Neural Network (CNN) to distinguish between benign, malignant, and normal breast cases, aiming to support breast cancer diagnosis.
An explainable AI research framework for preliminary mammogram analysis, breast-lesion localization, and molecular exploration of breast cancer.
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