Topic: tumor-classification Goto Github
Some thing interesting about tumor-classification
Some thing interesting about tumor-classification
tumor-classification,The goal of this project is to develop a tumor detection model utilizing logistic regression. This model aims to analyze medical imaging data and predict the likelihood of the presence of tumors.
User: afolabi022
Home Page: https://github.com/afolabi022/logistic-regression
tumor-classification,In this we trained a model to detect if there is a tumor in the brain image given to the model. Meaning a model for binary class with an accuracy of above 90 for same and cross validation.
User: ahmedsana
tumor-classification,R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.
User: antoniodefalco
Home Page: https://www.nature.com/articles/s41467-023-36790-9
tumor-classification,Use deep learning to identify ocular tumor types
User: assassint2017
tumor-classification,As part of the Thesis project, an Artificial Intelligence model was trained to classify breast tumors from ultrasound images as benign or malignant. Additionally, a user-friendly web application was created with Python for the backend and ReactJS for the frontend.
User: christopherkormpos
Home Page: https://tumornet.koulouras.gr/
tumor-classification,An attempt to build accurate models for detecting various brain diseases
User: engineer1080
tumor-classification,Classification of brain tumor in MR images using deep spatiospatial models.
User: farazahmeds
tumor-classification,[a.a. 22/23] G. Antonucci, N. Pagliara
User: gnoanto94
tumor-classification,scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.
User: jonyyqn
tumor-classification,Topological data analysis (TDA) in medical image analysis
User: jzk00
tumor-classification,Tumor Identification Based on Machine Learning Analysis of Gene Expression (2024)
User: lbulic1003
tumor-classification,The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
User: lidiagarrucho
Home Page: https://doi.org/10.7303/syn60868042
tumor-classification,Use Logistic Regression and Supported Vector Machines (both in scikit-learn) to classify whether a tumor is malignant or benign
User: march038
tumor-classification,The Brain Tumor MRI Dataset from Kaggle is employed for automated brain tumor detection and classification research. Investigated methods include using pre-trained models (VGG16, ResNet50, and ViT). 🧠🔍
User: mohammad95labbaf
tumor-classification,Deep Learning Model that classifies brain tumor from images
User: namanbansalcodes
tumor-classification,Classification of Benign and Malignant Tumor
User: nirajanbekoju
tumor-classification,Tumor Prediction Web App
User: nirmals-workspace
Home Page: https://nirmal-data-scientist.github.io/Tumor-Prediction/
tumor-classification,A Real-Time Multi Class Brain Tumor Classifier to Classify Brain Tumors using ConvNets (CNNs) and ANN as an asset of Deep Learning and to examine the position of the tumor.
User: pranav-on-github
tumor-classification,Using Naive Bayes for tumor classification in medical images. Great for healthcare & data science. Python & scikit-learn powered
User: prometheussx
tumor-classification,Classification of Brain tumor
User: rahulraj31
tumor-classification,Principal Component Analysis and Support Vector Machine for tumor classification in patients from the original Wisconsin breast cancer database.
User: raulalmuzara
tumor-classification,Deep Learning for Classification of Bone Lesions on Routine MRI
User: sopeeweje
tumor-classification,[a.a. 22/23] G. Antonucci, N. Pagliara
Organization: strumenti-formali-per-la-bioinformatica
tumor-classification,
User: wxy12151
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.