Foundation AI model uses MRI data to predict multiple brain disorders

Artificial intelligence (AI) systems are computational models that can learn to identify patterns in data, make accurate predictions or generate content (e.g., texts, images, videos or sound ...
IEEE

Prediction of Atmospheric Refractivity From Clutter Power Images Using a Convolutional Neural Network and a Trilinear Atmospheric Model

Abstract: In this paper, we propose a method for predicting atmospheric conditions from clutter power images using a convolutional neural network (CNN). The proposed refractivity from clutter (RFC) ...
GitHub

sarah-antillia/TensorFlow-FlexUNet-Image-Segmentation-Ultrasound-Liver

As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. This dataset contains a collection of annotated ultrasound ...
IEEE

KSIQA: A Knowledge-Sharing Model for No-Reference Image Quality Assessment

Abstract: No-reference image quality assessment (NR-IQA) aims to quantitatively measure human perception of visual quality without comparing a distorted image to a reference. Despite recent advances, ...
GitHub

sarah-antillia/TensorFlow-FlexUNet-Image-Segmentation-Endoscopy-Multi-Organ-Disease

This is the first experiment of Image Segmentation for Endoscopy Multi Organ Disease (EDD2020) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass), and ...