Towards automatization of organoid analysis: A deep learning approach to localize and quantify organoid images-Reference-Cited by-同舟云学术

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Towards automatization of organoid analysis: A deep learning approach to localize and quantify organoid images

Published:2023 Issue: Volume:3 Page:100101
ISSN:2666-9900
Container-title:Computer Methods and Programs in Biomedicine Update
language:en
Short-container-title:Computer Methods and Programs in Biomedicine Update

Author:

Haja Asmaa^ORCID,Horcas-Nieto José M.^ORCID,Bakker Barbara M.^ORCID,Schomaker Lambert^ORCID

Publisher

Elsevier BV

Subject

Materials Chemistry

Reference20 articles.

1. Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche;Sato;Nature,2009

2. In vitro expansion of single Lgr5+ liver stem cells induced by wnt-driven regeneration;Huch;Nature,2013

3. Cerebral organoids model human brain development and microcephaly;Lancaster;Nature,2013

4. Kidney organoids from human iPS cells contain multiple lineages and model human nephrogenesis;Takasato;Nature,2015

5. In vitro multilineage differentiation and self-renewal of single pancreatic colony-forming cells from adult C57BL/6 mice;Jin;Stem Cells Dev,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bridging the organoid translational gap: integrating standardization and micropatterning for drug screening in clinical and pharmaceutical medicine;Life Medicine;2024-04-01

2. Organoids Segmentation using Self-Supervised Learning: How Complex Should the Pretext Task Be?;Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering;2023-11-09

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