Results 121 to 130 of about 69,407 (212)

Image recognition using capsule network on FPGA [PDF]

, 2020
A capsule neural network (CapsNet) is a new approach in artificial neural network (ANN) that produces a better model hierarchical relationship. A capsule is a set of neurons. Each capsule generates vector which presents the details of an entity.
Adrees, Salim Ali Abdulrraziq
core  

Capsule Network-based Radiomics: From Diagnosis to Treatment [PDF]

, 2021
Recent advancements in signal processing and machine learning coupled with developments of electronic medical record keeping in hospitals have resulted in a surge of significant interest in ``radiomics".
Afshar, Parnian
core  

Domain Shift in Capsule Networks

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
Rajath S, Sumukh K. Aithal, Natarajan Subramanyam   +2 more
openaire   +1 more source

Neuro-fuzzy classification system for wireless-capsule endoscopic images

, 2008
In this research study, an intelligent detection system to support medical diagnosis and detection of abnormal lesions by processing endoscopic images is presented.
Lygouras, J.N., Kodogiannis, V.
core  

Skin Cancer Classification using Convolutional Capsule Network (CapsNet) [PDF]

, 2020
994-1001Researchers are proficient in preprocessing skin images but fail in identifying efficient classifiers for classifying skin cancer due to the complex variety of lesion sizes, colors, and shapes.
Satapathy, Suresh Chandra, Namburu, Anupama, Chakkaravarthy, Sibi, Pittendreigh, Matthew, Cruz, Meenalosini Vimal   +4 more
core  

Architecture of the baseline capsule network model [28].

Architecture of the baseline capsule network model [28].
Vivian Akoto-Adjepong (18165075), Peter Appiahene (15239981), Obed Appiah (18165078), Patrick Kwabena Mensah (18165081)   +3 more
core   +1 more source

A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels

Scientific Reports
This study proposes a novel text classification model, MBConv-CapsNet, to address large-scale text data classification issues in the Internet era. Integrating the advantages of Mobile Inverted Bottleneck Convolutional Networks and Capsule Networks, this ...
Tao Jin, Jiaming Liu
doaj   +1 more source

Characterization of the Active Ingredients and Prediction of the Potential Anticolitis Mechanism of the Feng-Liao-Chang-Wei-Kang Capsule via Mass Spectrometry and Network Pharmacology

Journal of Analytical Methods in Chemistry
The Feng-Liao-Chang-Wei-Kang (FLCWK) capsule is a nationally protected Chinese patent medicine for the treatment of colitis. However, the potential active components and the pharmacological mechanism underlying the anticolitis effect of the FLCWK capsule
Tingting Liu, Zhijiang He, Witiao Lv, Liyun Deng, Xizhe Sun, Yanfei Chen   +5 more
doaj   +1 more source

A consistency-aware deep capsule network for hierarchical multi-label image classification

Hierarchical classification is a significant challenge in computer vision due to the logical order and interconnectedness of multiple labels. This paper presents HD-CapsNet, a novel neural network architecture based on deep capsule networks, specifically
Noor, Khondaker Tasrif, Robles-Kelly, Antonio, Luo, Wei, Bouadjenek, Mohamed Reda, Zhang, Leo Yu   +4 more
core   +1 more source

Multi-scale capsule Swin Transformer-based method for SAR image target recognition

Tongxin xuebao
A multi-scale capsule Swin Transformer network (MSCSTN) was proposed by synergizing the semantic feature encoding of capsule units with the context feature mapping of Swin Transformer. Capsule encoding and the Swin Transformer were jointly applied to SAR
HOU Yuchao, WANG Jie, LI Hongtao, HAO Yan, DUAN Xiaoqi, HUANG Kaiwen, TIAN Youliang   +6 more
doaj