Evolutionary neural architecture search for high-dimensional skip-connection structures on densenet style networks
Convolutional neural networks hold state-of-the-art results for image classification, and
many neural architecture search algorithms have been proposed to discover high …
many neural architecture search algorithms have been proposed to discover high …
A review of the challenges in deep learning for skeletal and smooth muscle ultrasound images
Featured Application Deep learning is an effective strategy for determining skeletal and
smooth muscle conditions to help clinic personnel in landmark identification, muscle site …
smooth muscle conditions to help clinic personnel in landmark identification, muscle site …
FabNet: A features agglomeration-based convolutional neural network for multiscale breast cancer histopathology images classification
MS Amin, H Ahn - Cancers, 2023 - mdpi.com
Simple Summary Histology sample images are usually diagnosed definitively based on the
radiologist's extensive knowledge, yet, owing to the highly gritty visual appearance of such …
radiologist's extensive knowledge, yet, owing to the highly gritty visual appearance of such …
[HTML][HTML] Motion artifact correction in fetal MRI based on a Generative Adversarial network method
Fetal MR imaging is subject to artifacts, where the most common type is caused by motion.
These artifacts can appear as blurring and/or ghosting in the affected sequences. Currently if …
These artifacts can appear as blurring and/or ghosting in the affected sequences. Currently if …
Mitigating docker security issues
R Yasrab - arXiv preprint arXiv:1804.05039, 2018 - arxiv.org
Docker offers an ecosystem that offers a platform for application packaging, distributing, and
managing within containers. However, the Docker platform has not yet matured. Presently …
managing within containers. However, the Docker platform has not yet matured. Presently …
Detecting browser drive-by exploits in images using deep learning
P Iglesias, MA Sicilia, E García-Barriocanal - Electronics, 2023 - mdpi.com
Steganography is the set of techniques aiming to hide information in messages as images.
Recently, stenographic techniques have been combined with polyglot attacks to deliver …
Recently, stenographic techniques have been combined with polyglot attacks to deliver …
Adaptive magnification network for precise tumor analysis in histopathological images
The variable magnification levels in histopathology images make it difficult to accurately
categorize tumor regions in breast cancer histology. In this study, a novel architecture for …
categorize tumor regions in breast cancer histology. In this study, a novel architecture for …
Automatic artifact detection algorithm in fetal MRI
Fetal MR imaging is subject to artifacts including motion, chemical shift, and radiofrequency
artifacts. Currently, such artifacts are detected by the MRI operator, a process which is …
artifacts. Currently, such artifacts are detected by the MRI operator, a process which is …
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
G Xu, X Wang, X Wu, X Leng, Y Xu - arXiv preprint arXiv:2405.01725, 2024 - arxiv.org
Deep learning has made significant progress in computer vision, specifically in image
classification, object detection, and semantic segmentation. The skip connection has played …
classification, object detection, and semantic segmentation. The skip connection has played …
Optical frequency multiplication using residual network with random forest regression
Q Zhang, X Han, X Fang, M Liu, K Ge, H Jiang - Heliyon, 2024 - cell.com
In this work, we present a method for optical frequency multiplication utilizing a hybrid deep
learning approach that integrates the Residual Network (ResNet) with the Random Forest …
learning approach that integrates the Residual Network (ResNet) with the Random Forest …