Topic: lung-cancer Goto Github
Some thing interesting about lung-cancer
Some thing interesting about lung-cancer
lung-cancer,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 ๐ 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 ๐ We will also release our pretrained models and weights as Medical Imagenet.
Organization: aiaihealthcare
Home Page: https://AiAi.care/
lung-cancer,๐ซ DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
Organization: aican-research
lung-cancer,
User: amatov
Home Page: http://www.uriwatch.com
lung-cancer,Code for preprocessing the LIDC-IDRI lung cancer screening CT scan dataset
User: anibali
lung-cancer,Deep features and radiomics selection with NSGA-II for pulmonary nodule classification
User: anthonyjatoba
lung-cancer,Lung Cancer Prediction Model: Leverage the power of deep learning with this TensorFlow-based project. Trained on a dataset of lung X-Ray images, the model accurately predicts cancer cases. Easily integrate and utilize the model for early detection. #HealthTech #MachineLearning
User: aritradey-cs
lung-cancer,Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT (MIUA 2022)
User: bianconif
lung-cancer,Awesome artificial intelligence in cancer diagnostics and oncology
User: cbailes
lung-cancer,Lung Preneoplasia Progression via Pathomics
Organization: cpathology
lung-cancer,Plasma cell-free DNA hydroxymethylomes discriminate disease state in EGFR-mutant non-small cell lung cancer.
User: ctlife
lung-cancer,This repository contains a Jupyter Notebook for the analysis of Non-Small Cell Lung Cancer (NSCLC) data using various machine learning techniques.
User: debmalyasen34
lung-cancer,Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"
Organization: deepmicroscopy
lung-cancer,
User: dhense177
lung-cancer,Elevation and Cancer Incidence
User: dhimmel
Home Page: https://doi.org/10.7717/peerj.705
lung-cancer,Oxygen-driven tumorigenesis on the interactome
User: dhimmel
lung-cancer,[PR2022] The Code of โEANet: Iterative Edge Attention Network for Medical Image Segmentationโ
User: dlwk
lung-cancer,Classification of chest CT using caselevel weak supervision
User: fitushar
lung-cancer,This is a WebApp, which detects lung diseases with integrated stripe payment processing.
User: florianwoelki
Home Page: https://hidden-peak-62367.herokuapp.com/
lung-cancer,An automated lung cancer detection project.
Organization: highschool-ai-lab
lung-cancer,Companion for the 2023 manuscript in Cancer Epidemiology, Biomarkers & Prevention entitled "Geographic Patterns in U.S. Lung Cancer Mortality and Cigarette Smoking"
User: idblr
Home Page: https://doi.org/10.1158/1055-9965.EPI-22-0253
lung-cancer,A module for the Insight Toolkit (ITK) that provides a generic, modular, and extensible architecture for lesion sizing algorithms in medical images as well as a reference algorithm for lung solid lesion segmentation in CT images.
Organization: insightsoftwareconsortium
lung-cancer,This is the segmentation process of the LIDC-IDRI dataset. Checkout my preprocessing repository to use this repository
User: jaeho3690
lung-cancer,Descriptive and Statistical Analysis on the Cancer Patients dataset
User: koketsomangwale
Home Page: https://medium.com/@bmangwale/statistical-analysis-on-cancer-patients-data-in-python-b0c8cc8031ef
lung-cancer,Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
Organization: nadeemlab
lung-cancer,Exploratory Data Analysis of Lung Cancer Risk Factors
User: negativenagesh
Home Page: https://www.kaggle.com/datasets/subrahmanya090/lung-cancer
lung-cancer,Repository containing the codebase for modelling the demand and capacity requirements for Lung Cancer Health Checks
Organization: nhs-transformation-unit
lung-cancer,Mutation Detection in Lung Cancer Cell Lines using CNNs
User: ninadakolekar
lung-cancer,A Machine Learning Project to detect if someone has Lung Cancer or not. Built with FastAPI, Streamlit and Docker.
User: nneji123
Home Page: https://share.streamlit.io/nneji123/lung-cancer-prediction/main
lung-cancer,This project conducts spatial analysis on lung cancer tissue using Scanpy and data from 10x Genomics, focusing on preprocessing, quality control, and functional analysis of spatially variable genes. Insights into the molecular heterogeneity of lung cancer are uncovered, highlighting regions of interest for further research.
User: orangepomeranian
lung-cancer,Identification of Lung Cancer in Smoker Person Using Ensemble Methods Based on Gene Expression Data. Presented in IC2IE and published to IEEE.
User: otniel113
Home Page: https://ieeexplore.ieee.org/document/9970035
lung-cancer,Final year Btech Lung-Cancer-Detection-Project with code and documents
User: projects-developer
lung-cancer,MDPD - Microbiome Database of Pulmonary Diseases
Organization: pulmonomicslab
Home Page: http://bicresources.jcbose.ac.in/ssaha4/mdpd/
lung-cancer,I explored lung cancer mortality Kaggle dataset with SQL to generate insights.
User: quocduyenanhnguyen
lung-cancer,R package for lung-cancer risk-prediction model PLCOm2012
Organization: resplab
lung-cancer,Machine learning for non small cell lung cancer nodal staging from PETCT molecular imaging
User: rmeades
lung-cancer,Genomic Data Commons Query
User: rrafiee
lung-cancer,Scripts Used in Lung Cancer Gene Analysis (LUAD + LUSC)
User: seanlecornu
lung-cancer, Lung Cancer Data Set
Organization: semnan-university-ai
Home Page: http://archive.ics.uci.edu/ml/datasets/Lung+Cancer
lung-cancer,EasyNodule is a software made to help clinicinas to classify Lung Cancer. This will help in elaborating a traitement for the patient which will reduce the progress of the cancer which considered the most killer cancer in the world.
User: speedkillsx
Home Page: https://www.youtube.com/watch?v=DerCbbJpCoQ
lung-cancer,Developed a fine-tuned EfficientNetB0 model which is a pre-trained Convolutional Neural Network (CNN) model to train using lungs and colon cancer dataset and classify if the unseen image belonged to benign, adenocarcinoma or squamous cell carcinoma cancer type.
User: techysanjo
lung-cancer,Automatic end-to-end lung tumor segmentation from CT images.
User: vemundfredriksen
lung-cancer,
User: yaseenkady
lung-cancer,Find patients who have concerning tests but no timely follow-up
User: zimolzak
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