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Nelson Godoy's Projects

ama icon ama

this app is used for medical boat with the api infermedica

bone-fracture-detection icon bone-fracture-detection

Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree

braingazer icon braingazer

A CNN based algorithm with 91% accuracy for brain tumor detection.

chainpoint-cli icon chainpoint-cli

A Command Line Interface (CLI) for creating and verifying Chainpoint proofs.

chexzero icon chexzero

This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.

cnes-geo icon cnes-geo

serviço de busca com geocodes do Cadastro Nacional dos Estabelecimentos de Saúde

dataturks icon dataturks

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

dcmtag2table icon dcmtag2table

Code to generate a Pandas DataFrame with a custom list DICOM tags from a folder containing DICOM files

deeplasia icon deeplasia

Prior-free deep learning for pediatric bone age assessment robust to skeletal dysplasias

deeplearningddi icon deeplearningddi

Bem vindo ao GitHub Deep Learning DDI. Aqui iremos colocar o conteúdo básico necessário para que vocês possam ter uma noção geral do assunto Deep Learning na Radiologia e possam se aprofundar a partir daí. Saudações!

diana2 icon diana2

DICOM Image Analysis and Archive

dml-cxr-patient-identification icon dml-cxr-patient-identification

Code corresponding to the paper "Patient Identification Based on Deep Metric Learning for Preventing Human Errors in Follow-up X-Ray Examinations"

exam_forecast icon exam_forecast

Companion analysis to a paper published in the Journal of Digital Imaging.

fracchat icon fracchat

This project leverages AI chatbots to classify radiology reports using the Arbeitsgemeinschaft Osteosynthesefragen (AO) Fracture and Dislocation Classification Compendium. We compare the performance of generic chatbots, context-aware chatbots, and human readers.

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