VUNO is currently solving many different medical issues based on both VunoNet,
a self-developed deep learning engine and VunoMed, a medical data analysis platform.

Providing a platform and
consulting for medical data analysis

Developing automatic algorithm
against various problems
occurring in medical sites

Developing Diagnostic /
Quantification assisting


Especially, VunoMed provides many different
forms of data analyzations for medical videos,
ECG/Brain wave(signal data), and EMR data
(Text base). We can deliver the most optimized
solution for various issues in medical sites based
on many forms of medical data analyzations.

Medical Image

Biological Signal

Medical Records

Medical practices using  VUNOMED


VUNO is a group of professionals utilizing the Machine Learning Technique in various areas. We are solving many
medical issues by cooperating with large hospitals in different areas with our experience gained from working with big
corporate laboratories belonging to Samsung / LG in various industrial fields for a long time

Ranked 5th in ILSVRC2015,
CLS(classification) Task (Dec. 2015)

This task involves classifying over a million images into a thousand different classes, a top notch world-wide competition. VUNO has proved its technology against global IT companies by participating to this event for the first time.

Qualcomm Research

Self Deep learning engine,VunoNet

VUNO has been developing its own Deep Learning Engine to apply the fast evolving deep learning technology innovations in its applications. As a result, contrary to companies relying on open source deep learning engines such as Google's Tensorflow, We can apply the latest new theories and methods on our deep learning applications. In particular, VunoNet allowed us to use parallel processing which makes many researchers and experiments such as 2D-LSTM run smoothly.

  • Convolution
  • LSTM
  • MD-LSTM(2D)
  • Pooling
  • Spatial Pyramid Pooling
  • Fully Connection
  • Concatenation
  • Softmax
  • Regression
  • Connectionist
    Temporal Classification
  • Multi-GPU Support
  • Batch Normalization
  • Parametric Rectier
  • Initialization for Rectier
  • Stochastic Gradient Descent
  • Dropout
  • Data Augmentation

The proven functionality in various forms of data and medical problems.

VUNO is verifying our algorithm by cooperating with research hospitals. We are currently solving various problems in the medical domain. We are applying our expertise in deep learning to analyze medical images, signals and EMR(Electric Medical Record).
These researches have led to publications in renowned journals. And the solutions are currently going through regulatory approval process for clinical use.

Heart failure
Lung disease
state of the Art