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

08:00 EDT 12th September 2019 | BioPortfolio

Summary of "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 diagnostic system is proposed for cholelithiasis recognition on mobile devices with Android platform. To this aim, a data set of CT images of cholelithiasis is firstly collected from The Third Hospital of Shandong Province, China, and then we technically use histogram equalization to preprocess these CT images. As results, a lightweight convolutional neural network is obtained in a constructive way to extract cholelith features and recognize gallstones. In terms of implementation, we compile Java and C++ to adapt to the application of deep learning algorithm on mobile devices with Android platform. Noted that, the training task is completed offline on PC, but cholelithiasis recognition tasks are performed on mobile terminals. We evaluate and compare the performance of our MobileNetV2 with MobileNetV1, Single Shot Detector (SSD), YOLOv2 and original SSD (with VGG-16) as feature extractors for object detection. It is achieved that our MobileNetV2 achieve similar accuracy rate, about 91% with the other four methods, but the number of parameters used is reduced from 36.1M (SSD 300, SSD512), 50.7M (Yolov2) and 5.1M (MobileNetV1) to 4.3M (MobileNetV2). The complete process on testing mobile devices, including Virtual machine, Xiaomi 7 and Htc One M8 can be controlled within 4 seconds in recognizing cholelithiasis as well as the degree of the disease.


Journal Details

This article was published in the following journal.

Name: PloS one
ISSN: 1932-6203
Pages: e0221720


DeepDyve research library

PubMed Articles [14928 Associated PubMed Articles listed on BioPortfolio]

A novel YOLOv3-arch model for identifying cholelithiasis and classifying gallstones on CT images.

Locating diseases precisely from medical images, like ultrasonic and CT images, have been one of the most challenging problems in medical image analysis. In recent years, the vigorous development of d...

Developing a new intelligent system for the diagnosis of oral medicine with case-based reasoning approach.

Since the clinical manifestations of many oral diseases can be quite similar despite the wide variety in etiology and pathology, the differential diagnosis of oral diseases is a complex and challengin...

Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database.

Intelligent decision support systems (IDSS) have been applied to tasks of disease management. Deep neural networks (DNNs) are artificial intelligent techniques to achieve high modeling power. The appl...

DeTerm: Software for automatic detection of neuronal dendritic branch terminals via an artificial neural network.

Dendrites of neurons receive and process synaptic or sensory inputs. The Drosophila class IV dendritic arborization (da) neuron is an established model system to explore molecular mechanisms of dendri...

A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning and Mobile Terminal.

The dental disease is a common disease for a human. Screening and visual diagnosis which are currently performed in clinics possibly cost a lot in various manners. Along with the progress of the Inter...

Clinical Trials [8031 Associated Clinical Trials listed on BioPortfolio]

Validation of the Utility of Myopia Intelligent Diagnostic System

The screening of myopia via artificial intelligence represents an challenge in computational medicine. Here, the investigators use "deep learning" to create an automatic diagnostic system ...

Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children

Visual development during early childhood is a vital process. Examining the visual acuity of children is essential for the early detection of visual abnormality, but performing such an ass...

Comparison of Artificial Intelligent Clinic and Normal Clinic

In this study, the investigators provide participants who had congenital cataract the artificial intelligent clinic or normal clinic in the purpose of seeking out a better way to make a de...

Validation of the Utility of Ophthalmology Intelligent Diagnostic System

The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. Application scenarios of the current medical algorithms are too ...

Effectiveness of Artificial Intelligent Based mHealth System to Reduce ACS Patients Bleeding Events After PCI

The present study was designed to observe the effectiveness of artificial intelligent based mHealth system(Chronic disease management system) to reduce bleeding events in ACS patients unde...

Medical and Biotech [MESH] Definitions

Movable facilities in which diagnostic and therapeutic services are provided to the community.

Branch-like terminations of NERVE FIBERS, sensory or motor NEURONS. Endings of sensory neurons are the beginnings of afferent pathway to the CENTRAL NERVOUS SYSTEM. Endings of motor neurons are the terminals of axons at the muscle cells. Nerve endings which release neurotransmitters are called PRESYNAPTIC TERMINALS.

Computer programs or software installed on mobile electronic devices which support a wide range of functions and uses which include television, telephone, video, music, word processing, and Internet service.

Chemical agents that increase the permeability of biological or artificial lipid membranes to specific ions. Most ionophores are relatively small organic molecules that act as mobile carriers within membranes or coalesce to form ion permeable channels across membranes. Many are antibiotics, and many act as uncoupling agents by short-circuiting the proton gradient across mitochondrial membranes.

Methods and procedures for the diagnosis of diseases or dysfunction of the digestive system or its organs or demonstration of their physiological processes.

Quick Search

DeepDyve research library

Searches Linking to this Article