Abstract: Accuracy assessment is essential in all image classification-related fields, ranging from molecular imaging to earth observation. However, existing accuracy metrics are too sensitive to ...

The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...

Abstract: Image classification needs to consider image degradations in practice because an image classification network trained with clean images works poorly for degraded images while digital images ...

Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture that is the best classifier for images till today. This project implements the ...

This repo contains the code to perform a simple image classification task using Python and Machine Learning. We will apply global feature descriptors such as Color Histograms, Haralick Textures and Hu ...

It's all well and good to deliver successive machine learning (ML) platforms for data scientists, but if we don't bring business developers on board, ML and Artificial Intelligence (AI) just won't ...