Felipe Marques's repositories
AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
NauyanLuna16
LUNA(LUng Nodule Analysis) 2016 Segmentation Pipeline
DAR
Code for Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction [TMI 2022]
vit-tensorflow
Vision Transformer Cookbook with Tensorflow
fm-simple-simon
Simple Simon Solitaire Solver
DeepSEED-3D-ConvNets-for-Pulmonary-Nodule-Detection
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection
ts-dynamic-methods
A collection of useful annotations for typescript.
local-global
Official implementation of Lung Nodule Classification using Deep Local-Global Networks using PyTorch
NAS-Lung
3D NAS for Pulmonary Nodules Classification, PR 2021
Lung-CT-fastai-2020
Code to reproduce the results in "Pulmonary nodule classification in lung cancer from 3D thoracic CT scans"
lidc-binary-classification
This repository contains code to pre-process the LIDC-IDRI dataset of CT-scans with pulmonary nodules into a binary classification problem, easy to use for learning deep learning
NoduleNet
[MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
level-set-machine-learning
Level set segmentation with machine learning based velocity field
DeepLung
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
Probabilistic-Unet-Pytorch
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
iW-Net
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. By Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken and Aurélio Campilho
ISBI2018-Diagnostic-Classification-Of-Lung-Nodules-Using-3D-Neural-Networks
Network Architecture for the ISBI_2018 paper : DIAGNOSTIC CLASSIFICATION OF LUNG NODULES USING 3D NEURAL NETWORKS