Deep learning for hemorrhagic lesion detection and segmentation on brain CT images
L Li, M Wei, BO Liu, K Atchaneeyasakul… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and
death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) …
death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) …
Hierarchical convolutional neural networks for fashion image classification
Y Seo, K Shin - Expert systems with applications, 2019 - Elsevier
Deep learning can be applied in various business fields for better performance. Especially,
fashion-related businesses have started to apply deep learning techniques on their e …
fashion-related businesses have started to apply deep learning techniques on their e …
A unified matrix-based convolutional neural network for fine-grained image classification of wheat leaf diseases
Z Lin, S Mu, F Huang, KA Mateen, M Wang… - IEEE …, 2019 - ieeexplore.ieee.org
Fine-grained image classification methods often suffer from the challenge that the
subordinate categories within an entry-level category can only be distinguished by subtle …
subordinate categories within an entry-level category can only be distinguished by subtle …
Multiple classification of flower images using transfer learning
Deep learning technologies have been successful in many fields in recent years. Image
classification problem is one of the areas where the use of the results is successful. The …
classification problem is one of the areas where the use of the results is successful. The …
[PDF][PDF] Bare skin image classification using convolution neural netowrk
Image classification is critical and significant research problems in computer vision
applications such as facial expression classification, satellite image classification, and plant …
applications such as facial expression classification, satellite image classification, and plant …
Application of convolutional neural network based on transfer learning for garbage classification
L Cao, W Xiang - 2020 IEEE 5th information technology and …, 2020 - ieeexplore.ieee.org
In order to effectively utilize garbage resources, reduce environmental pollution and the
burden of people sorting garbage, this paper proposes a method of garbage classification …
burden of people sorting garbage, this paper proposes a method of garbage classification …
High-accuracy clothing and style classification via multi-feature fusion
X Chen, Y Deng, C Di, H Li, G Tang, H Cai - Applied Sciences, 2022 - mdpi.com
In recent years, the online selection of virtual clothing styles has been used to explore and
expand diversified personal aesthetics, and it is also an overall reform and challenge to the …
expand diversified personal aesthetics, and it is also an overall reform and challenge to the …
Image classification for the automatic feature extraction in human worn fashion data
S Rohrmanstorfer, M Komarov, F Mödritscher - Mathematics, 2021 - mdpi.com
With the always increasing amount of image data, it has become a necessity to automatically
look for and process information in these images. As fashion is captured in images, the …
look for and process information in these images. As fashion is captured in images, the …
A lean convolutional neural network for vehicle classification
JJ Sanchez-Castro… - 2020 IEEE 29th …, 2020 - ieeexplore.ieee.org
Image classification is an important task in machine vision, in which vehicle classification is
used for different applications like traffic analysis, autonomous driving, security, among …
used for different applications like traffic analysis, autonomous driving, security, among …
Automated tea quality identification based on deep convolutional neural networks and transfer learning
C Zhang, J Wang, G Lu, S Fei, T Zheng… - Journal of Food …, 2023 - Wiley Online Library
Different quality grades of tea tend to have a high degree of similarity in appearance.
Traditional image‐based identification methods have limited effects, while complex deep …
Traditional image‐based identification methods have limited effects, while complex deep …