Parallel structure deep neural network using CNN and RNN with an attention mechanism for breast cancer histology image classification
H Yao, X Zhang, X Zhou, S Liu - cancers, 2019 - mdpi.com
In this paper, we present a new deep learning model to classify hematoxylin–eosin-stained
breast biopsy images into four classes (normal tissues, benign lesions, in situ carcinomas …
breast biopsy images into four classes (normal tissues, benign lesions, in situ carcinomas …
Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time‐Series Data
Z Zhang, Y Dong - Complexity, 2020 - Wiley Online Library
Today, artificial intelligence and deep neural networks have been successfully used in many
applications that have fundamentally changed people's lives in many areas. However, very …
applications that have fundamentally changed people's lives in many areas. However, very …
Hotel Recognition Using Object Ensembles
SS Bhavanasi, A Stylianou - 2023 IEEE Applied Imagery …, 2023 - ieeexplore.ieee.org
Hotel recognition from images is a key part of investigations of child sexual abuse and
human trafficking, where victims are often photographed in hotels; identifying the place can …
human trafficking, where victims are often photographed in hotels; identifying the place can …
Prediction of Future Appearances via Convolutional Recurrent Neural Networks Based on Image Time Series in Cloud Computing
Z Zhang, X Li - Cloud Computing, Smart Grid and Innovative Frontiers …, 2020 - Springer
In recent years, cloud computing has become a prevalent platform to run artificial
intelligence (AI) and deep learning applications. With cloud services, AI models can be …
intelligence (AI) and deep learning applications. With cloud services, AI models can be …
Realistic Occlusion Augmentation for Human Pose Estimation
A Ansarian - 2021 - spectrum.library.concordia.ca
Occlusion occurs naturally in a high percentage of real-world images. Handling occlusion
has been a difficult challenge in human pose estimation methods, specially those using …
has been a difficult challenge in human pose estimation methods, specially those using …