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5 Results Found

  • Feature Paper
  • Article
  • Open Access
88 Citations
14,354 Views
19 Pages

Glomerulus Classification and Detection Based on Convolutional Neural Networks

  • Jaime Gallego,
  • Anibal Pedraza,
  • Samuel Lopez,
  • Georg Steiner,
  • Lucia Gonzalez,
  • Arvydas Laurinavicius and
  • Gloria Bueno

16 January 2018

Glomerulus classification and detection in kidney tissue segments are key processes in nephropathology used for the correct diagnosis of the diseases. In this paper, we deal with the challenge of automating Glomerulus classification and detection fro...

  • Article
  • Open Access
21 Citations
3,854 Views
14 Pages

31 January 2023

Membranous nephropathy is one of the most prevalent conditions responsible for nephrotic syndrome in adults. It is clinically nonspecific and mainly diagnosed by kidney biopsy pathology, with three prevalent techniques: light microscopy, electron mic...

  • Review
  • Open Access
5 Citations
5,039 Views
8 Pages

23 January 2024

The purpose of blood purification therapy is to remove uremic toxins, and middle molecules (MMs) are a specific target. An MM is defined as a solute that passes through the glomerulus with a molecular weight in the range of 0.5–58 kDa, and new...

  • Article
  • Open Access
19 Citations
3,492 Views
15 Pages

20 January 2022

The rising global incidence of chronic kidney disease necessitates the development of image categorization of renal glomeruli. COVID-19 has been shown to enter the glomerulus, a tissue structure in the kidney. This study observes the differences betw...

  • Article
  • Open Access
4 Citations
2,129 Views
21 Pages

Renal Pathological Image Classification Based on Contrastive and Transfer Learning

  • Xinkai Liu,
  • Xin Zhu,
  • Xingjian Tian,
  • Tsuyoshi Iwasaki,
  • Atsuya Sato and
  • Junichiro James Kazama

Following recent advancements in medical laboratory technology, the analysis of high-resolution renal pathological images has become increasingly important in the diagnosis and prognosis prediction of chronic nephritis. In particular, deep learning h...