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Dheerajjha451 / BrainTumor

Sponsor
Star 9

Our project utilizes advanced machine learning algorithms to predict brain tumors. It can detect various types of brain tumors, including glioma, pituitary tumors, and more. If no tumor is detected, it provides a no tumor.

react javascript machine-learning product reactjs saas fullstack top collaborate hacktoberfest top1 tailwindcss tensorflowjs vite braintumour top3 hacktoberfest-accepted hacktoberfest2024 hacktoberfest2024-accepted
  • Updated Jul 29, 2024
  • JavaScript

kknani24 / Automated-Brain-Tumor-Detection-Using-YOLOv10-A-Deep-Learning-Approach

Star 0

This project implements an automated brain tumor detection system using the YOLOv10 deep learning model. It utilizes a robust MRI dataset for training, enabling accurate tumor identification and annotation. An interactive Gradio interface allows users to upload images for real-time predictions, enhancing diagnostic efficiency in medical imaging.

opencv data-science deep-learning jupyter-notebook python3 image-classification image-recognition mechine-learing braintumour yolov10
  • Updated Sep 22, 2024
  • Jupyter Notebook

Vidhi1290 / Brain-Tumor-Detection

Star 4

Brain Tumor Detection using CNN: Achieving 96% Accuracy with TensorFlow: Highlights the main focus of your project, which is brain tumor detection using a Convolutional Neural Network (CNN) implemented in TensorFlow. It also emphasizes the impressive achievement of reaching 96% accuracy, which showcases the effectiveness of your model.

python data-science machine-learning deep-neural-networks deep-learning tensorflow machine-learning-algorithms kaggle artificial-intelligence artificial-neural-networks convolutional-neural-networks datavisualization dataanalysis braintumour braintumorclassification
  • Updated Aug 29, 2023
  • Jupyter Notebook

Harshkarn / Brain-Tumor-classification-using-Transfer-Learning-Models

Star 0

This study focuses on four deep-learning models, which are Inception V3, MobileNet V2, ResNet152V2, and VGG19, aiming to enhance the accuracy of tumor Classification

python deep-learning cnn kaggle accuracy convolutional-neural-networks inception transfer-learning pretrained-models preprocessing inceptionv3 googlenet vgg19 f1-score mobilenet braintumour braintumorsegmentation braintumor braintumorclassification
  • Updated Jun 8, 2024
  • Jupyter Notebook

aksh-ai / neuralBlack

Star 125

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

deep-learning cnn torch pytorch neural-networks classification accuracy resnet transfer-learning brain resnet-50 transferlearning cnn-classification brain-tumor braintumour brain-tumor-classification brain-tumour brain-tumor-detection
  • Updated Apr 15, 2024
  • Jupyter Notebook

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