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An artificial intelligence (AI)-based model accurately classified pediatric sarcomas using digital pathology images alone, ...
The National Science Foundation’s Daniel K. Inouye telescope debuted a close-up of the sun captured by its new, ...
Abstract: Currently, convolutional neural network (CNN) and transformer-based hyperspectral image (HSI) classification methods have attracted significant attention owing to their effective feature ...
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AZoRobotics on MSNAI Breakthrough in Image Recognition with Lp-ConvolutionThe Lp-Convolution technique enhances AI image recognition, mimicking brain processes to improve accuracy and efficiency while reducing computational demands.
Our novel approach is dedicated to refining image classification using customized CNN Kernel. The primary objective is to enhance algorithmic performance, bolstering adaptability and feature ...
Our proposed ensemble fusion approach significantly outperforms the classification using only histopathology images alone with deep learning models. Therefore, our approach can be used to support the ...
Yet, even when datasets are balanced, they can still introduce biases, leading to better classification performance for certain ... Additionally, all the models were tested on an external image set ...
Editor’s Note: Call to Earth is a CNN editorial series committed to reporting ... the boat is heading towards a massive glacier. In the image Aslund took in 2024, he is heading toward what ...
A deep learning-powered real-time fitness trainer that classifies 22 workout classes from video using MediaPipe pose estimation, a hybrid CNN + BiLSTM + Attention model. Accurately detects human poses ...
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