skip to main content
Idioma:
Primo Search
Clear Search Box
Search in: Busca Geral
Busca Avançada
Busca por Índices

Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap

Cho, Hyeonwoo ; Nishimura, Kazuya ; Watanabe, Kazuhide ; Bise, Ryoma

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.384-394 [Periódico revisado por pares]

Cham: Springer International Publishing

Sem texto completo

Citações Citado por
  • Título:
    Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
  • Autor: Cho, Hyeonwoo ; Nishimura, Kazuya ; Watanabe, Kazuhide ; Bise, Ryoma
  • Assuntos: Cell detection ; Domain adaptation ; Pseudo labeling
  • É parte de: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.384-394
  • Descrição: The domain shift problem is an important issue in automatic cell detection. A detection network trained with training data under a specific condition (source domain) may not work well in data under other conditions (target domain). We propose an unsupervised domain adaptation method for cell detection using the pseudo-cell-position heatmap, where a cell centroid becomes a peak with a Gaussian distribution in the map. In the prediction result for the target domain, even if a peak location is correct, the signal distribution around the peak often has a non-Gaussian shape. The pseudo-cell-position heatmap is re-generated using the peak positions in the predicted heatmap to have a clear Gaussian shape. Our method selects confident pseudo-cell-position heatmaps using a Bayesian network and adds them to the training data in the next iteration. The method can incrementally extend the domain from the source domain to the target domain in a semi-supervised manner. In the experiments using 8 combinations of domains, the proposed method outperformed the existing domain adaptation methods.
  • Títulos relacionados: Lecture Notes in Computer Science
  • Editor: Cham: Springer International Publishing
  • Idioma: Inglês
Voltar para lista de resultados

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.