A Machine Learning Approach for Cognitive Decline Detection Using Neuroimaging Data Developed a multi-model system to predict brain tumor, dementia, and schizophrenia diseases. Integrated these models into a Flask app for real-time predictions.

Attention-based Deep Learning Approaches in Brain Tumor Image Analysis: A Mini Review

A Novel Optimized ResNet-SD Model for Brain Tumor Classification Using Stochastic Depth and Metaheuristic Optimization

A deep learning-based approach for automatic detection of brain tumors from magnetic resonance imaging (MRI) scans. Brain Tumor Detection using Deep Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

A Python implementation of the YOLO (You Only Look Once) object detection algorithm, designed for real-time detection and localization of brain tumors in images.

Brain tumor detection using CNN for multi-class classification.

3 Deep Learning models implemented - RADNet, ViT (Vision Transformer), Hybrid (RADNet + ViT) to further develop two Deep Learning models function of classifying 4 types of brain tumors including only pictures of no brain tumor (no other information about patients provided, only pictures).

An AI-powered brain MRI analysis system. Brain tumor segmentation is performed using the LGG MRI dataset with a U-Net architecture. The model identifies tumor regions in MRI images by generating masks, calculates the proportion of cancerous areas, and provides a risk assessment.

A Deep Learning Model using Res Net-50 with transfer learning used for detecting sub types of brain tumors.

NeuroDetect AI is a deep-learning based system that detects brain tumors and Alzheimer’s disease from MRI scans using optimized CNN and transfer-learning models. It provides fast and reliable predictions through a simple web interface with a Flask backend, offering an effective AI solution for early neurological diagnosis.

Explore Attention-based Deep Learning for brain tumor image analysis. Enhance diagnosis accuracy and efficiency. 🌟🖥️