Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis, and medical intervention.
This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine
Projeto alternativo final de avaliação da disciplina de Visão Computacional voltado a análise de imagens médicas.
View volumetric (3D) medical images in Jupyter notebooks
Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".
Ultralytics Notebooks 🚀
My machine learning notebooks. Feel free to use for your purposes.
Jupyter notebooks of the github.com/Friends-of-Tracking-FoTD/LaurieOnTracking
Python notebook for read BDF file (deformable vector field) from Varian Velocity.
A Python code to display slices of a DICOMDIR volume, using Jupyter notebook
Model to classify Pneumonia and TB From CXR ☢️
Semantic Segmentation of CMR with a U-Net based architecture. Implemented in TF2.X. Trainings, prediction and evaluation scripts/notebooks for heatmap based right ventricle insertion point detection on cine CMR images. Koehler et al. 2022, BVM
📔 Breast User Testing Guide
This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.
This project uses a TinyVGG16-based CNN to classify MRI scans for Alzheimer's Disease stages: Mild Impairment, Moderate Impairment, No Impairment, and Very Mild Impairment. It includes Jupyter notebooks for training and prediction, and a Streamlit app for easy inference. The model achieves high metrics in predicting Alzheimer's stages.