Cargando…
State of the Art Cell Detection in Bone Marrow Whole Slide Images
CONTEXT: Diseases of the hematopoietic system such as leukemia is diagnosed using bone marrow samples. The cell type distribution plays a major role but requires manual analysis of different cell types in microscopy images. AIMS: Automated analysis of bone marrow samples requires detection and class...
Autores principales: | Gräbel, Philipp, Özkan, Özcan, Crysandt, Martina, Herwartz, Reinhild, Baumann, Melanie, Klinkhammer, Barbara Mara, Boor, Peter, Brümmendorf, Tim Hendrik, Merhof, Dorit |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546357/ https://www.ncbi.nlm.nih.gov/pubmed/34760333 http://dx.doi.org/10.4103/jpi.jpi_71_20 |
Ejemplares similares
-
Large-scale extraction of interpretable features provides new insights into kidney histopathology – A proof-of-concept study
por: Gupta, Laxmi, et al.
Publicado: (2022) -
Improving unsupervised stain-to-stain translation using self-supervision and meta-learning
por: Bouteldja, Nassim, et al.
Publicado: (2022) -
Semi-automated analysis of digital whole slides from humanized lung-cancer xenograft models for checkpoint inhibitor response prediction
por: Bug, Daniel, et al.
Publicado: (2019) -
Removing defocused objects from single focal plane scans of cytological slides
por: Friedrich, David, et al.
Publicado: (2016) -
Deep learning accelerates whole slide imaging for next-generation digital pathology applications
por: Rivenson, Yair, et al.
Publicado: (2022)