The world's fastest deep learning AI super computing system

for Gigapixel Analysis

Pixel based Image Segmentation in a second

Better than NVIDIA DGX-1 to deal with large Image Analysis

World Fastest Deep Learning Framework for Gigapixel Images

Easy Graphic User Interface to build AI models

Analysis of gigapixel data in seconds.

“Adaptive Learning” takes only minutes.

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Super AI system (Image Server + AI super machine + Terapixel Management Software + Terapixel Deep Learning Framework)
Entry (2GPU) Please contact us for further quotation.
Advanced (8GPU)
* AI HPC platform available
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AI HPC solution available

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Company

    AIExplore is the world leading terapixel platform (24x Faster than Leica, 117x Faster than Microsoft HDview) with super fast AI deep learning system (3600 times faster than existing systems, which tend to cost at least half hour to process a gigapixel image), allowing real time analysis of terapixel images through internet on any portable device. In addition, customized AI models could be built fast and efficiently, and AI models could be improved continuously by adaptive learning in mins (20160 times faster than existing AI systems, which tend to cost two weeks to train an AI model on terapixel images). With special medical image AI training technology, AI models could be built based on limited amount of data.
    The super fast terapixel AI platform is especially suitable for biomedical, remote sensing and semi-conducting manufacturing applications, which requires ultra-fast analysis of super high resolution images. Customized AI modelling services are provided. Various AI models are available for purchase. For surveillance applications, AI models are for detection and segmentation of lakes, airplanes, houses and cars ; for semi-conducting manufacturing applications, customized defect detection models are provided; for biomedical applications, a breast cancer AI model to compute the amount / percentage of normal, ADH, DCIS and Breast Carcinoma tissues in each slide, a lung cancer model, a tissue necrosis AI model, a vacuolization AI model, a cephalometric X ray AI model, a dental x ray AI model, a chest x-ray AI model, etc.. We continue on building super fast customized AI systems for users.
    For 3D imaging, a fast and interactive web based 3D Rendering, Reconstruction and Registration platform is also available. We also provide automatic cross-staining analysis for generating quantitative information.

Products

1. Super Fast Terapixel Server

2. Super Fast AI System for Gigapixel Image Analysis

3. Super Fast 3D Reconstruction and Analysis Server

3. Various scale of storage packages to choose from 3TB to 10000PB

5. Send us tissue specimens to get your high quality digital slides

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Product Features

[Terapixel image platform] Super Fast Terapixel Server

     Various scale of storage packages to choose from 3TB to 10000PB

117x Faster than Microsoft HDview

24x Faster than Leica

Compatible with iOS (iPhone & iPad), Android, Windows, Mac & Linux

Super Fast Terapixel Server allows multiple users to view and anlyze gigapixel and terapixel images with mobile devices such as iPhones, iPads, Android Mobiles or laptops at the same time. Users could annotate and analyze the data using built-in tools such as color deconvolution, color quantification, nuclei / object detection, length measurement and quantitative reporting system.

Analyze large scale microscopic images in real-time

Compatible with many scanners, such as Leica, Hamamatsu, 3DHistech, Motic e.t.

Terapixel Platform in your Pocket

Wireless & Wired Internet Device

Allow multi-users at the same time

Compatible with various file formats, such as JPG, TIFF, SVS, DICOM, NDPI, MIREX, SCN...

Wang C.-W.*, Huang C., Hung C. (2015) VirtualMicroscopy: ultra-fast interactive microscopy of gigapixel / terapixel images over internet, Nature-Scientific Reports 5: 14069 (SCI, JCR 2015 (7/63) in MULTIDISCIPLINARY SCIENCES, IF=5.228)

Wang, C.-W., Hung, C, Gigapixel/Terapixel Interactive Real Time Visualization and Cloud System, USA Patent (9,047,318)

Wang, C.-W., Hung, C, Ultra-high-resolution interactive video display and cloud system and its management methods, Patent, Taiwan(I574762)

Nuclei Detection & Counting

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Various Annotation & Measurement tool

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Quantitative Analysis & Stain Separation tools

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[Super fast AI] Super Fast AI System for Gigapixel Image Analysis

     Various scale of storage packages to choose from 3TB to 10000PB

3600 times faster than existing AI systems, which tend to cost at least half hour to process a gigapixel image

100% Accuracy (slide based)

>98% Accuracy (local area/object based)

Super Fast AI System enables real time analysis of Gigapixel Image and development of customized AI model in a short time based on a super fast and smart adaptive deep learning framework. AI models could be built to detect objects, defects or tissues of various types of cancers, syndromes or diseases and compute the quantitative information of region of interests in the image. Moreover, the AI model can be trained with limited data and produce accurate results. AI models could be easily improved and adapted by the smart learning framework.

Real time analysis of gigapixel images, fast modelling and optimizing deep learning AI models

High speed development of customized AI models

Super fast AI / DeepLearning modelling service available

Wang CW* et al (2017) A Benchmark for Comparing Precision Medicine Methods in Thyroid Cancer Diagnosis using Tissue Microarrays, Bioinformatics (SCI, JCR 2016 5% (4/78) in MATHEMATICAL & COMPUTATIONAL BIOLOGY, IF=7.307))

Veta et al. (2015) Assessment of algorithms for mitosis detection in breast cancer histopathology images, Medical Image Analysis 20 237-248

Wang* and Yu (2013) Automated Morphological Classification of Lung Cancer Subtypes using H&E Tissue Images, Machine Vision and Applications, Volume 24, Issue 7, Page 1383-1391

Buckley et al., The ΔNp63 proteins are key allies of BRCA1 in the prevention of basal-like breast cancer (2011), Cancer Research, 71: 1933

Wang*, Robust Automated Tumour Segmentation on Histological and Immunohistochemical Tissue Images (2011), PLOS ONE, 6:2, e15818

Breast Cancer AI Model

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Lung Cancer AI Model

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[3D image platform] Super Fast 3D Reconstruction and Analysis Server

     Various scale of storage packages to choose from 3TB to 10000PB

Super Fast 3D Reconstruction and Analysis Server provides an interactive real time 3D reconstruction platform for users to analyze 3D shapes of images more precisely and accurately. It provides real-time 3D reconstruction of data and various image processing tools.

Real-time & Interactive

3D Reconstruction Image Analysis

Wireless & Wired Device

Allow multi-users at the same time

Provide fully automatic image registration and difference analysis function, enabling fusion and comparison of multiple 3D or 2D datasets. For data in higher or lower dimension, customized models could be built.


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Various scale of storage packages to choose from 3TB to 10000PB

Encrypted database with backup and disaster recovery facility

Patents

Gigapixel/Terapixel Interactive Real Time Visualization and Cloud System, Taiwan Invention Patent, I574762 , Wang, C.-W., Hung, C
Gigapixel/Terapixel Interactive Real Time Visualization and Cloud System, USA Patent, 9,047,318 , Wang, C.-W., Hung, C
Automatic Cephalometric Landmark Detection and Registration in Lateral Cephalograms, Taiwan Invention Patent , I499985, Wang, C.-W., Li C.
Fetal Ultrasound Automatic Segmentation Method and System (IMAGE RECOGNITION METHOD AND IMAGE RECOGNITION SYSTEM), USA Invention Patent, 9,020,252, Wang, C.-W.
Fetal Ultrasound Automatic Segmentation Method and System (IMAGE RECOGNITION METHOD AND IMAGE RECOGNITION SYSTEM), Taiwan Invention Patent, I501754, Wang, C.-W.
Artificial Intelligent Analysis, Pattern Recognition and Prediction Approach, TAIWAN (I 288332), Wang, C.-W.

Patents in application

Wang C., Chen Y., Cross-staining and multi-biomarker method for assisting in cancer diagnosis, Taiwan, 107118500
Wang C., Chen Y., Cross-staining and multi-biomarker method for assisting in cancer diagnosis-USA, 1070013US0
Wang C., Chen Y., Cross-staining and multi-biomarker method for assisting in cancer diagnosis-China, 1070013CN0
Wang C., Chen Y., Cross-staining and multi-biomarker method for assisting in cancer diagnosis-Japan, 1070013JP0/h5>
Wang C., Ko H., SPLINE IMAGE REGISTRATION METHOD, Taiwan, 107121575
Wang C., Ko H., SPLINE IMAGE REGISTRATION METHOD, USA, 1070025US0
Wang C., Ko H., SPLINE IMAGE REGISTRATION METHOD, China, 1070025CN0
Wang C., Ko H., SPLINE IMAGE REGISTRATION METHOD, Japan, 1070025JP0
Wang C., MEDICAL IMAGE ANALYSIS METHOD APPLYING MACHINE LEARNING AND SYSTEM THEREOF, Taiwan, 107124061
Wang C., MEDICAL IMAGE ANALYSIS METHOD APPLYING MACHINE LEARNING AND SYSTEM THEREOF, USA, 1070021US0
Wang C., MEDICAL IMAGE ANALYSIS METHOD APPLYING MACHINE LEARNING AND SYSTEM THEREOF, German, 1070021DE0
Wang C., MEDICAL IMAGE ANALYSIS METHOD APPLYING MACHINE LEARNING AND SYSTEM THEREOF, Japan, 1070021JP0
Excellence in Research Award, National Taiwan University of Science and Technology, 2018.2-2020.1

The Outstanding Research and Creativity Award, National Taiwan University of Science and Technology, 2016.2-2018.1

Innovation Award, the 16th China International Industry Fair, Shangai, China, 2014.11.3-7

1st Prize, the 4th Annual Creative Entrepreneurship Competition ─ New Business Development Group, National Taiwan University of Science and Technology, 2013.5

Young Scholar Award, National Taiwan University of Science and Technology, 2013.1-2015.12

Excellence in Research Award, National Taiwan University of Science and Technology, 2013.2-2016.1

Second place, Right Ventricle Segmentation Challenge in 4D Cardiac MRI, 2012 Rouen, sponsored by Toshiba, PIE Medical Imaging and Medis

First Prize, Fetal Femur Challenge, Organized by Oxford University, 2012

Distinguished Young Scholar 3-Years Research Fund, by National Science Council of Taiwan

Set for Britain, Selected to present the research in the House of Commons, London, March 8th 2010

Contact Us




Address: Aeeon Building TR913, No.43, Sec.4, Keelung Rd., Taipei, 106, Taiwan

Tel: +886 2 2730-3749

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