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Auto Segmentation

With the opening of the era of artificial intelligence, a new wind is blowing in the medical community. In the Department of Radiology, there are many tasks that require a lot of highly educated people.

However, there is always a shortage of hospital staff to support advanced radiotherapy. We save your time and offer professional levels of automatic segmentation.

  • High Accuracy
  • Full Automatic
  • High Speed
  • Stable outcome

Contouring Assistant

If the outcome of automatic segmentation is not satisfactory enough then you can try contouring studio we provide.

Our tools can easily and quickly draw from simple contours to complex organs. Image segmentation can be performed efficiently with the help of traditional algorithms, ranging from regional growing algorithms to deformable registration algorithms.

  • User friendly
  • High Compatibility
  • High productivity
  • Support SaaS

WORK-FLOW MANAGING SYSTEM

Easy access to various modality and patient care schedules ensures the user's work efficiency. In particular, A simple statistic query helps users intuitively understand workflows.

Data in our solutions can be accessed safely, quickly, and always accurate.


  • Integrity
  • Secure
  • Easy to access
  • Adaptable Workflow

Cloud Platform

Easy access and management for data.
All data can be stored in cloud safely.

Deep Learning

Advanced model of deep learning of oncosoft.
Provide the best performance for any solutions.

Precision Medicine

We are looking for optimal radiation dose and schedule dictate the induction of anti-tumor immunity using Deep learning

Press release


Our Team

Members of OncoSoft

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JinSung Kim

CEO

Ph.D. @ KAIST

Medical Physicist. @ National Cancer Center, Korea (2007-2009) @ Samsung Medical Center (2009-2016)

Professor, Yonsei University, Yonsei Cancer Center (2016- )

Medical Physics and Biomedical Engineering Lab (MPBEL)

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SeongGong Moon

CTO
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Jaehee Chun

Research Scientist
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Sanga Choi

Manager
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DoJin Koo

Software Engineer
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Minsu Kim

Software Engineer
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Gemumju Ko

Software Engineer
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Eung Seok Song

Clinical Assistant