Search results for: colorization

• ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization

  Publication

  • A. Obuchowski
  • B. Klaudel
  • R. Karski
  • B. Rydziński
  • M. Glembin
  • P. Syty
  • P. Jasik

  - Proceedings of FLAIRS-35 - Year 2022

  Renal tumor malignancy classification is one of the crucial tasks in urology, being a primary factor included in the decision of whether to perform kidney removal surgery (nephrectomy) or not. Currently, tumor malignancy prediction is determined by the radiological diagnosis based on computed tomography (CT) images. However, it is estimated that up to 16% of nephrectomies could have been avoided because the tumor that had been...

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• Deep convolutional neural network for predicting kidney tumour malignancy 

  Publication

  • A. Obuchowski
  • B. Klaudel
  • R. Karski
  • B. Rydziński
  • M. Glembin
  • P. Jasik
  • P. Syty

  - Year 2021

  Purpose: According to the statistics, up to 15-20% of removed solid kidney tumors turn out to be benign in postoperative histopathological examination, despite having been identified as malignant by a radiologist. The aim of the research was to limit the number of unnecessary nephrectomies of benign tumors. Methods or Background: We propose a machine-aided diagnostic system for kidney...

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