ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images
Predict Brain tumors (glioma, meningioma & pituitary) Using a Convolutional Neural Network
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...
Statistical Methods for Machine Learning project - Muffins Vs Chihuahuas
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine...
Brain tumor detection and prediction using keras vgg-16
Classify a given image of handwritten digit into one of the 10 classes representing integer value...
Medical-AI is a AI framework specifically for Medical Applications https://aibharata.github.io/me...
Handwritten Digit Recognition using Machine Learning and Deep Learning
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A deep learning python package for neuroimaging data. Made by:
AI for Medicine Specialization - Coursera offered by deeplearning.ai
Machine learning pipeline for detection of X-ray cavities on Chandra images of early-type galaxie...
This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upl...
Identification of Medicinal Plants Using Xception
Computer Vision Case Study in image recognition to classify an image to a binary class, based on ...