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Name: Berlin Shaheema
Type: User
Name: Berlin Shaheema
Type: User
Brain Tumor Segmentation with U-Net using AI (Machine Learning) - CNN (Convolutional Neural Network )
Using a Convolutional Neural Network to classify brain tumor type
Solution of the RSNA/ASNR/MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021
Glioblastoma tumour classfication and tumour grade segmentattion using U-NET CNN
Lime: Explaining the predictions of any machine learning classifier
Segmentation BraTS2021
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Official Implementation for SEDNet
CNN that predicts skin cancer, includes model explainability visuals and can be used to develop an app for doctors.
The Sprint AI Training for African Medical Imaging Knowledge Translation (SPARK) program is designed to train a new generation of African artificial intelligence (AI) experts in medical imaging who can train others. Find more details on our website
Leveraging the power of transfer learning using the VGG19 network within TensorFlow to tackle the specific problem of image classification.
MONAI Tutorials
Deep learning Brain tumor segmentation, BRATS2019
Code release for paper "You Only Segment Once: Towards Real-Time Panoptic Segmentation" [CVPR 2023]
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.