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ann-pso

Training Neural Network with Particle Swarm Optimization

classification-pipeline

This repository contains a pipeline for training classification models using pre trained model in keras. Readme will be updated with step by step process to use this pipeline.

classification-pipeline-1

This repository contains a pipeline for training classification models using pre trained model in keras. Readme will be updated with step by step process to use this pipeline.

cnnoptimization

Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dataset)

ct_lung_segmentation

Lung segmentation from CT images

deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

dicom-to-jpg

Convert all DICOM (.dcm) images in a folder to JPG/PNG and extract all patients information in a '.csv' format in a go using python.

fittingparamsdiffeqflux

Some tutorial programs fiiting differential equation parameters using the DiffEqFlux and sciml packages for Julia.

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

kaggle_dsb

Canidadate for the Kaggle 2017 Data Science Bowl - Automatic detection of lung cancer from CT scans

keras

First Contact with Keras Deep Learning for humans

lidc-idri-preprocessing

This is the preprocessing step of the LIDC-IDRI dataset

lidc-idri-preprocessing-1

This is the preprocessing step of the LIDC-IDRI dataset

lidc-idri-processing

Scripts for the preprocessing of LIDC-IDRI data

lidc-idri-segmentation

This is the segmentation process of the LIDC-IDRI dataset. Checkout my preprocessing repository to use this repository

luna16-lung-nodule-analysis-2016-challenge

LUNA16-Lung-Nodule-Analysis-2016-Challenge

lung-cancer-detection

Deep learning-based segmentation and classification of lung nodules

lung-cancer-detection-1

Improve lung cancer detection using deep learning

lung-cancer-prediction

CNN model to predict lung cancer based on CT scan images

lung_cancer

This Repository Consist of work related to the detection of Lung Cancer and Malignant Lung Nodules from Chest Radio Graphs using Computer Vision and algorithms, Image Processing and Machine Learning Technology.

lungcancerdetection

Use CNN to detect nodules in LIDC dataset.

lungcancerdetection-1

Very Important Use CNN to detect nodules in LIDC dataset.

lungct_diagnosis

Repository processes CT scanned images of human Lungs , which are in DICOM image format. Visualises the data in 3D and trains a 3D convolution network on the data after preprocessing.

lungmask

Automated lung segmentation in CT

lungnoduledetectionclassification

Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans

lungtumorsegmentation

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

msrf-net

nature-inspired-algorithms

Sample Code Collection of Nature-Inspired Computational Methods

netron

Visualizer for neural network, deep learning, and machine learning models