The training and validation scripts are based on timm's repository and have been adapted to work with our DiDiCM approach. The DiDiRN architecture is built upon the ResNet design for a fair comparison ...
Abstract: This study investigates the use of lightweight deep learning models for classifying operational states of hydrocyclones in a copper mining process. A diverse data set was curated by ...
Abstract: Text recognition in natural scene images is a challenging problem in computer vision. Different than the optical character recognition (OCR), text recognition in natural scene images is more ...
This repository aims at reproducing the results from "CBAM: Convolutional Block Attention Module". We use the module coinjointly with the ResNet CNN architecture. The module is tested on the CIFAR10 ...
A group of researchers from the Technion and the United States reports a breakthrough in MRI scanning in a paper published in ...
Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...
In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...
Artificial Intelligence-Assisted Medical Imaging Solutions for Integrating Pathology and Radiology Automated Systems - Volume III ...
An optimized ResNet-18 architecture integrating deformable convolution and efficient channel attention was further introduced to enhance feature representation. The present study aimed to develop and ...
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