Cargando…

An artificial intelligent diagnostic system on mobile Android terminals for cholelithiasis by lightweight convolutional neural network

Artificial intelligence (AI) tools have been applied to diagnose or predict disease risk from medical images with recent data disclosure actions, but few of them are designed for mobile terminals due to the limited computational power and storage capacity of mobile devices. In this work, a novel AI...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pang, Shanchen, Wang, Shuo, Rodríguez-Patón, Alfonso, Li, Pibao, Wang, Xun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742400/ https://www.ncbi.nlm.nih.gov/pubmed/31513631 http://dx.doi.org/10.1371/journal.pone.0221720

Ejemplares similares

A novel YOLOv3-arch model for identifying cholelithiasis and classifying gallstones on CT images
por: Pang, Shanchen, et al.
Publicado: (2019)

Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices
por: Alkahtani, Hasan, et al.
Publicado: (2022)

Android dreams: the past, present and future of artificial intelligence
por: Walsh, Toby
Publicado: (2017)

A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal
por: Wei, Lin, et al.
Publicado: (2023)

Research and Verification of Convolutional Neural Network Lightweight in BCI
por: Xu, Shipu, et al.
Publicado: (2020)

Intelligent mobile projects with TensorFlow: build 10+ artificial intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi
por: Tang, Jeff
Publicado: (2018)

A lightweight hierarchical convolution network for brain tumor segmentation
por: Wang, Yuhu, et al.
Publicado: (2022)

Android forensics: investigation, analysis, and mobile security for Google Android
por: Hoog, Andrew, et al.
Publicado: (2011)

Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning
por: Krzysztoń, Mateusz, et al.
Publicado: (2022)

Cholelithiasis
por: Dignen, W. E.
Publicado: (1904)

Cholelithiasis
Publicado: (1904)

EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network
por: Pang, Shanchen, et al.
Publicado: (2021)

Satellite cloud image segmentation based on lightweight convolutional neural network
por: Li, Xi, et al.
Publicado: (2023)

Lightweight-Convolutional Neural Network for Apple Leaf Disease Identification
por: Fu, Lili, et al.
Publicado: (2022)

Artificial intelligence for assessing the severity of microtia via deep convolutional neural networks
por: Wang, Dawei, et al.
Publicado: (2022)

Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks
por: Dai, Min, et al.
Publicado: (2023)

Android things y visión artificial /
Publicado: (2019)

Android continuous integration: build-deploy-test automation for Android mobile apps
por: Macharla, Pradeep
Publicado: (2017)

Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
por: Choi, Joonmyeong, et al.
Publicado: (2020)

Convolution neural network with batch normalization and inception-residual modules for Android malware classification
por: Liu, TianYue, et al.
Publicado: (2022)

Intrahepatic Cholelithiasis
Publicado: (1929)

Experimental Cholelithiasis
Publicado: (1915)

Xamarin mobile application development for Android
por: Reynolds, Mark
Publicado: (2014)

Android mobile applications in eye care
por: Karthikeyan, Siddharth Karuppasamy, et al.
Publicado: (2019)

Individual dairy cow identification based on lightweight convolutional neural network
por: Li, Shijun, et al.
Publicado: (2021)

Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network
por: Magotra, Varun, et al.
Publicado: (2022)

Improved Lightweight Convolutional Neural Network for Finger Vein Recognition System
por: Hsia, Chih-Hsien, et al.
Publicado: (2023)

Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
por: Ning, Hongwei, et al.
Publicado: (2023)

A Lightweight convolutional neural network for nicotine prediction in tobacco by near-infrared spectroscopy
por: Wang, Di, et al.
Publicado: (2023)

CCT: Lightweight compact convolutional transformer for lung disease CT image classification
por: Sun, Weiwei, et al.
Publicado: (2022)

Lightweight Artificial Intelligence for Secure Data Communication in Energy-Constrained Healthcare Devices
por: Pande, Suyog Vinayak, et al.
Publicado: (2022)

An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems
por: Selvarajan, Shitharth, et al.
Publicado: (2023)

Hardhat-Wearing Detection Based on a Lightweight Convolutional Neural Network with Multi-Scale Features and a Top-Down Module
por: Wang, Lu, et al.
Publicado: (2020)

Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for recognizing unhealthy tongue with tooth-mark
por: Wang, Xu, et al.
Publicado: (2020)

Convolutional Neural Network-Based Artificial Intelligence for Classification of Protein Localization Patterns
por: Liimatainen, Kaisa, et al.
Publicado: (2021)

Design of an Always-On Image Sensor Using an Analog Lightweight Convolutional Neural Network
por: Choi, Jaihyuk, et al.
Publicado: (2020)

An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification
por: Yu, Donghang, et al.
Publicado: (2020)

Implementation of Lightweight Convolutional Neural Networks via Layer-Wise Differentiable Compression
por: Diao, Huabin, et al.
Publicado: (2021)

Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification
por: Chen, Wen, et al.
Publicado: (2022)

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
por: Ahmad, Mubashir, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_p18lm1quosekv4ip1pg9dslje1