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 …

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 …

[HTML][HTML] Automated bone marrow cytology using deep learning to generate a histogram of cell types

RM Tayebi, Y Mu, T Dehkharghanian, C Ross… - Communications …, 2022 - nature.com
Background Bone marrow cytology is required to make a hematological diagnosis,
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 …

Image processing and machine learning in the morphological analysis of blood cells

J Rodellar, S Alférez, A Acevedo… - … journal of laboratory …, 2018 - Wiley Online Library
Introduction This review focuses on how image processing and machine learning can be
useful for the morphological characterization and automatic recognition of cell images …

Analysis of live cell images: Methods, tools and opportunities

TA Nketia, H Sailem, G Rohde, R Machiraju, J Rittscher - Methods, 2017 - Elsevier
Advances in optical microscopy, biosensors and cell culturing technologies have
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

N Nazir, A Sarwar, BS Saini, R Shams - Computation, 2023 - mdpi.com
Cervical cancer poses a significant global health burden, affecting women worldwide.
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 …

[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 …

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 …