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MVG Research Group

The Machine Vision Research Group (MVG Group) focuses on interdisciplinary research problems from the field of machine vision and medicine. The problems are solved using methods of digital image processing and analysis, machine learning and deep learning.

Research area

Deep neural networks in early detection of melanomas


Computer-aided dermatopathology

Research goal:
To improve skin melanoma diagnosis by providing additional means of automatic detection of important diagnostic features in histopathological images.

The research topics include:

  • tissue segmentation
  • epidermis segmentation
  • nests of melanocytes segmentation
  • epidermal morphometry measurement

Team members involved:

  • J. Jaworek-Korjakowska
  • P. Kłeczek
  • D. Kucharski

Research activity

Anomaly detection with the use of pre-trained CNN architectures

Research goal:
To detect anomalies in multivariate diagnostic signals of the synchrotron control system by pre-trained CNN architectures.

The research topics include:

  • data mining and preparation
  • data preprocessing
  • CNN architectures building

Team members involved:

  • M. Piekarski
  • J. Jaworek-Korjakowska

Detection and analysis of patterns (@asia: muszę dopracować )


Cell detection - Andrzej...

All authors: P. Kłeczek, M. Lech, G. Dyduch, J. Jaworek-Korjakowska, R. Tadeusiewicz.
All authors: P. Kłeczek, S. Mól, J. Jaworek-Korjakowska
All authors: P. Kłeczek, G. Dyduch, J. Jaworek-Korjakowska, R.Tadeusiewicz
research_group/start.1588791095.txt.gz · Last modified: 2020/08/25 15:49 (external edit)