lung-cancer-detection
There are 13 repositories under lung-cancer-detection topic.
wikke / Tianchi-Medical-LungTumorDetect
天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
Language:Jupyter Notebook 433junqiangchen / LUNA16-Lung-Nodule-Analysis-2016-Challenge
LUNA16-Lung-Nodule-Analysis-2016-Challenge
Language:Python 274AiAiHealthcare / ProjectAiAi
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.
Language:Dockerfile 107s-mostafa-a / Luna16
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".
Language:Jupyter Notebook 81DoDuy / Lung-Diseases-Classifier
Diseases Detection from NIH Chest X-ray data
Language:Jupyter Notebook 79- Lung-Cancer-Detection
Priyansh42 / Lung-Cancer-Detection
This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.
Language:Python 63 VemundFredriksen / LungTumorMask
Automatic end-to-end lung tumor segmentation from CT images.
Language:Python 29ipriyaaanshu / lung-cancer-detection
This is a project based on Data Science Bowl 2017. I did my best to propose a solution for the problem but I am still new to Deep Learning so my solution is not the optimal one but it can definitely be improved with some fine tuning and better resources.
Language:Jupyter Notebook 27FlorianWoelki / lungcure
This is a WebApp, which detects lung diseases with integrated stripe payment processing.
Language:HTML 25Rakshith2597 / Lung-nodule-detection-LUNA-16
Lung nodule detection- LUNA 16
Language:Jupyter Notebook 22ayush9304 / Lung_Cancer_Detection
Lung Nodules Segmentation from CT scans using CNN.
Language:Jupyter Notebook 20alegonz / kdsb17
Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
Language:Python 19hallowshaw / Lung-Cancer-Prediction-using-CNN-and-Transfer-Learning
A deep learning-based system for predicting lung cancer from CT scan images using Convolutional Neural Networks (CNN). This project utilizes the Xception model for image classification into four categories: Normal, Adenocarcinoma, Large Cell Carcinoma, and Squamous Cell Carcinoma.
Language:Jupyter Notebook 18rumbleFTW / lung-cancer-detection
A novel pipeline for detecting lung cancer from CT scan images.
Language:Jupyter Notebook 14Ammar-Raneez / ONCO
ONCO is a cancer diagnosis/prognosis mobile application focused on the 3 main cancers of the thoracic region (Breast, Lung & Skin)
Language:Jupyter Notebook 13Hahnnz / Pulmonary_Nodule_Detection_Classification
[ 2017 Graduation Project ] - Pulmonary Nodule Detection & Classification implemented Tensorflow and Caffe1
Language:Python 11koushikkumarl / capsuleNetwork_cancerclassification
Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.
Language:Jupyter Notebook 11svella9 / Semi-Supervised-Learning-To-Improve-Lung-Cancer-Detection
Boost lung Cancer Detection using Generative model and Semi-Supervised Learning
Language:JavaScript 11BarriBarri20 / Lung-cancer-detection-model-training
This project is a deep learning model for lung cancer prediction, trained on a dataset containing images of different types of lung cancer and normal lung CT scans. The model was created using TensorFlow and Keras, and uses transfer learning with pre-trained models like ResNet50, VGG16, and MobileNetV2.
Language:Jupyter Notebook 10dbeckerton94 / LungAnalayis-TumorFinder
Program designed to look at X-ray images of Lungs, to analyse and identify tumors. Developed in Matlab, uses custom filter and threshold finding
Language:Matlab 10lucashu1 / CAIS-Data-Science-Bowl-Demo
Training a 3D ConvNet to detect lung cancer from patient CT scans, while generating images of lung scans in real time. Adapted from 2017 Data Science Bowl
Language:Python 10iamSobhan / multiple_disease_prediction
Multiple Disease Prediction System
Language:Jupyter Notebook 9joyou159 / Lung-Nodule-Analysis-System
This project is an end-to-end deep learning pipeline for lung cancer detection using 3D CT scan data.
Language:Python 9abhikrm0102 / Lung-Nodules-Detection-and-Classification-using-UNet-DenseNet
Develop a machine learning (ML) model for lung cancer detection using U-Net and DenseNet architectures. Achieve an accuracy of at least 99.96% in lung nodule detection and classification. Achieved validation of 99.9%.
Language:Jupyter Notebook 8bedead / lung-cancer-classification-yoloV8---gradio
The model is based on a YOLOv8 (Deep learning Neural network architecture) and is trained on the publicly available dataset, which consists of lung CT scans of patients with and without lung cancer.
Language:Jupyter Notebook 8digamjain / Cancer-Cell-Prediction
Here I tried various Machine Learning algorithms on different cancer's dataset present in CSV format.
Language:Jupyter Notebook 7BCV-Uniandes / LUCAS
LUng CAncer Screeningwith Multimodal Biomarkers
Language:Python 6ed-word / Lung-Cancer-Preprocessing
Understanding Lung CT scans and processing them before applying Machine learning algorithms.
Language:Python 6markdyousef / lung-cancer-detection
Improve lung cancer detection using deep learning
Language:Jupyter Notebook 5mujaffarbhati / Lung-Cancer-Detection
A convolutional neural network (CNN) based project for prediciton of cancer with inputs as DCM files (3d Data)
Language:Jupyter Notebook 5- Language:MATLAB 4
philsaurabh / Cancer-gene-expression-analysis
Gene expression and feature selection
Language:Jupyter Notebook 4pratap1298 / lung-cancer-prediction-using-machine-learning-techniques-classification
The cancer like lung, prostrate, and colorectal cancers contribute up to 45% of cancer deaths. So it is very important to detect or predict before it reaches to serious stages. If cancer predicted in its early stages, then it helps to save the lives. Statistical methods are generally used for classification of risks of cancer i.e. high risk or low risk. Sometime it becomes difficult to handle the complex interactions of highdimensional data. Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.I am using algorithms like Naive Bayes, decision tree
Language:R 4- Lung-Cancer-Detection-Project
Projects-Developer / Lung-Cancer-Detection-Project
Final year Btech Lung-Cancer-Detection-Project with code and documents. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Language:Python 4 - Language:Jupyter Notebook 4
Godhuli-De / LungCancerPrediction_ModelComparison
This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.
Language:Jupyter Notebook 3
