Deep learning based automatic immune cell detection for immunohistochemistry images
T Chen, C Chefd'Hotel - International workshop on machine learning in …, 2014 - Springer
Immunohistochemistry (IHC) staining is a widely used technique in the diagnosis of
abnormal cells such as cancer. For instance, it can be used to determine the distribution and …
abnormal cells such as cancer. For instance, it can be used to determine the distribution and …
Digital cytology: Current status and future prospects
T Saini, B Bansal, P Dey - Diagnostic Cytopathology, 2023 - Wiley Online Library
Aims In this paper, we reviewed the basic principle and the currentstatus of digital
cytopathology. Materials and Methods We reviewed the published papers on digitalcytology …
cytopathology. Materials and Methods We reviewed the published papers on digitalcytology …
[HTML][HTML] Automated bone marrow cytology using deep learning to generate a histogram of cell types
Background Bone marrow cytology is required to make a hematological diagnosis,
influencing critical clinical decision points in hematology. However, bone marrow cytology is …
influencing critical clinical decision points in hematology. However, bone marrow cytology is …
Digital applications in cytopathology: problems, rationalizations, and alternative approaches
N Chantziantoniou, M Mukherjee, AD Donnelly… - Acta cytologica, 2018 - karger.com
Objective: The aim of this work was to raise awareness of problems using digital
applications for examining, teaching, and applying telecytology at King Abdulaziz Medical …
applications for examining, teaching, and applying telecytology at King Abdulaziz Medical …
Image processing and machine learning in the morphological analysis of blood cells
Introduction This review focuses on how image processing and machine learning can be
useful for the morphological characterization and automatic recognition of cell images …
useful for the morphological characterization and automatic recognition of cell images …
Analysis of live cell images: Methods, tools and opportunities
Advances in optical microscopy, biosensors and cell culturing technologies have
transformed live cell imaging. Thanks to these advances live cell imaging plays an …
transformed live cell imaging. Thanks to these advances live cell imaging plays an …
[HTML][HTML] A robust deep learning approach for accurate segmentation of cytoplasm and nucleus in noisy pap smear images
Cervical cancer poses a significant global health burden, affecting women worldwide.
Timely and accurate detection is crucial for effective treatment and improved patient …
Timely and accurate detection is crucial for effective treatment and improved patient …
Automatic single cell segmentation on highly multiplexed tissue images
PJ Schüffler, D Schapiro, C Giesen… - Cytometry Part …, 2015 - Wiley Online Library
The combination of mass cytometry and immunohistochemistry (IHC) enables new
histopathological imaging methods in which dozens of proteins and protein modifications …
histopathological imaging methods in which dozens of proteins and protein modifications …
[HTML][HTML] Towards artificial intelligence applications in next generation cytopathology
E Giarnieri, S Scardapane - Biomedicines, 2023 - mdpi.com
Over the last 20 years we have seen an increase in techniques in the field of computational
pathology and machine learning, improving our ability to analyze and interpret imaging …
pathology and machine learning, improving our ability to analyze and interpret imaging …
A guided spatial transformer network for histology cell differentiation
M Aubreville, M Krappmann, C Bertram… - arXiv preprint arXiv …, 2017 - arxiv.org
Identification and counting of cells and mitotic figures is a standard task in diagnostic
histopathology. Due to the large overall cell count on histological slides and the potential …
histopathology. Due to the large overall cell count on histological slides and the potential …