GitHub

sarah-antillia/TensorFlow-FlexUNet-Image-Segmentation-Brain-Tumor-MRI

As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. This repository contains a curated and enhanced version of brain ...
IEEE

Deployment of TensorFlow Lite for Real-Time Image Classification on Raspberry Pi: Performance Evaluation with CIFAR-10 and MNIST, and Implications for Power Generation

Abstract: The present paper investigates the application of TensorFlow Lite to deploy the Convolutional Neural Network on Rasberry Pi for real-time image classification, considering specifically the ...
GitHub

sarah-antillia/TensorFlow-FlexUNet-Image-Segmentation-Real-Time-Brain-Stroke-CT

To address the class imbalance (in the number of images/masks) between the Hemorrhagic and Ischemic classes of the original CT image dataset, we applied our offline augmentation tools, ...
National Academies of Sciences%2c Engineering%2c and Medicine

A New Era for Classification of Traumatic Brain Injuries

Former athlete and Emmy-winning sports reporter Lindsay Simpson suffered a traumatic brain injury in 2018 that nearly took her life. At a recent event held by the National Academies of Sciences, ...
Hacker

Fine-Tuning ResNet-18 with TensorFlow Model Garden for CIFAR-10 Classification

Too Long; Didn't Read This tutorial walks you through fine-tuning a ResNet-18 model from TensorFlow’s Model Garden for classifying images in the CIFAR-10 dataset. You’ll learn how to set up the ...
IEEE

Remote Sensing Image Classification of Sugarcane Harvest based on Tensorflow

Abstract: In this paper, deep learning is mainly introduced into remote sensing image processing, and the convolutional neural network model is used to process remote sensing images, so that the ...