Search results for: liver segmentation

• Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review

  Publication

  • M. Ciecholewski
  • M. Kassjański

  - SENSORS - Year 2021

  The segmentation of liver blood vessels is of major importance as it is essential for formulating diagnoses, planning and delivering treatments, as well as evaluating the results of clinical procedures. Different imaging techniques are available for application in clinical practice, so the segmentation methods should take into account the characteristics of the imaging technique. Based on the literature, this review paper presents...

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• Comparison of image pre-processing methods in liver segmentation task

  Publication

  • K. Kaczor
  • P. Nadachowski
  • M. Operlejn
  • A. Piastowski
  • M. Zielonka
  • J. Cychnerski
  • A. Kwaśniewska

  - Year 2022

  Automatic liver segmentation of Computed Tomography (CT) images is becoming increasingly important. Although there are many publications in this field there is little explanation why certain pre-processing methods were utilised. This paper presents a comparison of the commonly used approach of Hounsfield Units (HU) windowing, histogram equalisation, and a combination of these methods to try to ascertain what are the differences...

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• Creating a radiological database for automatic liver segmentation using artificial intelligence.

  Publication

  • S. Girnyi
  • T. Dziubich
  • A. Brzeski
  • J. Cychnerski
  • D. Świetlik
  • J. Woźniak
  • W. Szczecińska
  • J. Jaśkiewicz
  • J. Zielinski

  - EJSO-EUR J SURG ONC - Year 2022

  Imaging in medicine is an irreplaceable stage in the diagnosis and treatment of cancer. The subsequent therapeutic effect depends on the quality of the imaging tests performed. In recent years we have been observing the evolution of 2D to 3D imaging for many medical fields, including oncological surgery. The aim of the study is to present a method of selection of radiological imaging tests for learning neural networks.

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• Comparison of Selected Neural Network Models Used for Automatic Liver Tumor Segmentation

  Publication

  • D. Kwiatkowski
  • T. Dziubich

  - Year 2023

  Automatic and accurate segmentation of liver tumors is crucial for the diagnosis and treatment of hepatocellular carcinoma or metastases. However, the task remains challenging due to imprecise boundaries and significant variations in the shape, size, and location of tumors. The present study focuses on tumor segmentation as a more critical aspect from a medical perspective, compared to liver parenchyma segmentation, which is the...

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• Liver Cancer

  Journals

  ISSN: 2235-1795 , eISSN: 1664-5553

• Gut and Liver

  Journals

  ISSN: 1976-2283 , eISSN: 2005-1212

• LIVER INTERNATIONAL

  Journals

  ISSN: 1478-3223 , eISSN: 1478-3231

• Liver Research

  Journals

  ISSN: 2096-2878 , eISSN: 2542-5684

• LIVER TRANSPLANTATION

  Journals

  ISSN: 1527-6465 , eISSN: 1527-6473

• Segmentation concept in mechanical engineering

  Publication

  • J. Wojciechowski
  • W. Przybylski

  - Year 2006

  Zaprezentowano nowoczesne podejście do rozwiązywania problemów technicznych, technologicznych i organizacyjnych przedsiębiorstwa w oparciu ich strukturyzację. Przedstawiono przykłady segmentcji w stosunku do przedmiotów obrabianych oraz struktur organizacyjnych przedsiębiorstwa.