Artificial intelligence in cytopathology: a review of the literature and overview of commercial landscape
MS Landau, L Pantanowitz - Journal of the American Society of …, 2019 - Elsevier
Artificial intelligence (AI) has made impressive strides recently in interpreting complex
images, thanks to improvements in deep learning techniques and increasing computational …
images, thanks to improvements in deep learning techniques and increasing computational …
[HTML][HTML] Evaluation and optimization for liquid-based preparation cytology in whole slide imaging
RE Lee, DS McClintock, NM Laver, Y Yagi - Journal of pathology …, 2011 - Elsevier
Background: Cytology poses different obstacles in whole slide imaging compared to surgical
pathology slides. A single focal plane suffices for most of the latter, but cytology slides are …
pathology slides. A single focal plane suffices for most of the latter, but cytology slides are …
Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network
Abstract Background and Objective: Leukemia represents 30% of all pediatric cancers and
is considered the most common malignancy affecting adults and children. Cell differential …
is considered the most common malignancy affecting adults and children. Cell differential …
Virtual tissue staining in pathology using machine learning
Pathology is a medical discipline dealing with diagnosing and studying diseases. Through
recognizing structural histological alterations, pathologists acquire valuable information on …
recognizing structural histological alterations, pathologists acquire valuable information on …
Computational textural mapping harmonises sampling variation and reveals multidimensional histopathological fingerprints
Background Technical factors can bias H&E digital slides potentially compromising
computational histopathology studies. Here, we hypothesised that sample quality and …
computational histopathology studies. Here, we hypothesised that sample quality and …
[HTML][HTML] Disentanglement of content and style features in multi-center cytology images via contrastive self-supervised learning
C Tian, X Liu, S Cheng, J Bai, L Chen… - … Signal Processing and …, 2024 - Elsevier
Multi-center cervical cytology images have various image styles due to the differences in
staining and imaging techniques, which pose a significant challenge to the performance of …
staining and imaging techniques, which pose a significant challenge to the performance of …
Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning–based image preprocessing technique
Background Urine cytology is commonly used as a screening test for high‐grade urothelial
carcinoma for patients with risk factors or hematuria and is an essential step in longitudinal …
carcinoma for patients with risk factors or hematuria and is an essential step in longitudinal …
Brightfield vs Fluorescent Staining Dataset–A Test Bed Image Set for Machine Learning based Virtual Staining
Differential fluorescent staining is an effective tool widely adopted for the visualization,
segmentation and quantification of cells and cellular substructures as a part of standard …
segmentation and quantification of cells and cellular substructures as a part of standard …
Automated curation of large‐scale cancer histopathology image datasets using deep learning
L Hilgers, N Ghaffari Laleh, NP West… - …, 2024 - Wiley Online Library
Background Artificial intelligence (AI) has numerous applications in pathology, supporting
diagnosis and prognostication in cancer. However, most AI models are trained on highly …
diagnosis and prognostication in cancer. However, most AI models are trained on highly …
[HTML][HTML] An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS)
Abstract Machine learning has been leveraged for image analysis applications throughout a
multitude of subspecialties. This position paper provides a perspective on the evolutionary …
multitude of subspecialties. This position paper provides a perspective on the evolutionary …