Year 2022

• Age Prediction from Low Resolution, Dual-Energy X-ray Images Using Convolutional Neural Networks

  Publication

  • K. Jańczyk
  • J. Rumiński
  • T. Neumann
  • N. Kowalczyk
  • W. Piotr

  - Applied Sciences-Basel - Year 2022

  Age prediction from X-rays is an interesting research topic important for clinical applications such as biological maturity assessment. It is also useful in many other practical applications, including sports or forensic investigations for age verification purposes. Research on these issues is usually carried out using high-resolution X-ray scans of parts of the body, such as images of the hands or images of the chest. In this...

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Year 2019

• The influence of image masks definition onsegmentation results of histopathological imagesusing convolutional neural network

  Publication

  • K. Jańczyk
  • T. Neumann
  • J. Rumiński

  - Year 2019

  Abstract—In the era of collecting large amounts of tissue materials, assisting the work of histopathologists with various electronic and information IT tools is an undeniable fact. The traditional interaction between a human pathologist and the glass slide is changing to interaction between an AI pathologist with a whole slide images. One of the important tasks is the segmentation of objects (e.g. cells) in such images. In this...

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