AIMC Topic: Urothelium
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Evaluating Urine Cytology Slide Digitization Efficiency: A Comparative Study Using an Artificial Intelligence-Based Heuristic Scanning Simulation and Multiple Z-Plane Scanning.
Acta cytologica
Apr 22, 2024
INTRODUCTION: Digitizing cytology slides presents challenges because of their three-dimensional features and uneven cell distribution. While multi-Z-plane scan is a prevalent solution, its adoption in clinical digital cytopathology is hindered by pro...
Scoring PD-L1 Expression in Urothelial Carcinoma: An International Multi-Institutional Study on Comparison of Manual and Artificial Intelligence Measurement Model (AIM-PD-L1) Pathology Assessments.
Virchows Archiv : an international journal of pathology
Apr 4, 2024
Assessing programmed death ligand 1 (PD-L1) expression on tumor cells (TCs) using Food and Drug Administration-approved, validated immunoassays can guide the use of immune checkpoint inhibitor (ICI) therapy in cancer treatment. However, substantial i...
Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study.
Cancer cytopathology
Jun 21, 2022
BACKGROUND: The Paris System for Reporting Urinary Cytology (TPS) has been shown to improve bladder cancer diagnosis. Advances in artificial intelligence (AI) may assist and improve the clinical workflow by applying TPS in routine diagnostic services...
Is it real or not? Toward artificial intelligence-based realistic synthetic cytology image generation to augment teaching and quality assurance in pathology.
Journal of the American Society of Cytopathology
Feb 8, 2022
INTRODUCTION: Urine cytology offers a rapid and relatively inexpensive method to diagnose urothelial neoplasia. In our setting of a public sector laboratory in South Africa, urothelial neoplasia is rare, compromising pathology training in this specif...
A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells.
Computational and mathematical methods in medicine
Jun 13, 2021
Deep convolutional networks have become a powerful tool for medical imaging diagnostic. In pathology, most efforts have been focused in the subfield of histology, while cytopathology (which studies diagnostic tools at the cellular level) remains unde...
Developing a Machine Learning Algorithm for Identifying Abnormal Urothelial Cells: A Feasibility Study.
Acta cytologica
Oct 6, 2020
INTRODUCTION: Urine cytology plays an important role in diagnosing urothelial carcinoma (UC). However, urine cytology interpretation is subjective and difficult. Morphogo (ALAB, Boston, MA, USA), equipped with automatic acquisition and scanning, opti...
Feasibility Studies
Cytodiagnosis
Image Interpretation, Computer-Assisted
Urine
Proof of Concept Study
Urothelium
Urologic Neoplasms
Humans
Predictive Value of Tests
Neural Networks, Computer
Prostatic Neoplasms
Machine Learning
Carcinoma
Female
Male
Reproducibility of Results
Middle Aged
Aged
Diagnosis, Computer-Assisted
Aged, 80 and over
Biomarkers of the Response to Immune Checkpoint Inhibitors in Metastatic Urothelial Carcinoma.
Frontiers in immunology
Aug 25, 2020
The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastatic urothelial carcinoma (mUC) patients are not clear. It is of great significance to discern mUC patients who could benefit from ICI therapy in clinica...
Risk Factors
Biomarkers, Tumor
Male
Risk Assessment
Gene Expression Profiling
Transcriptome
Time Factors
Immune Checkpoint Inhibitors
Machine Learning
Decision Support Techniques
Clinical Decision-Making
Female
Urothelium
Urinary Bladder Neoplasms
B7-H1 Antigen
Predictive Value of Tests
Humans
Nomograms
Carcinoma
Treatment Outcome
Drug Resistance, Neoplasm
Antibodies, Monoclonal, Humanized
Generic Isolated Cell Image Generator.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Oct 8, 2019
Building automated cancer screening systems based on image analysis is currently a hot topic in computer vision and medical imaging community. One of the biggest challenges of such systems, especially those using state-of-the-art deep learning techni...
Performance of an artificial intelligence algorithm for reporting urine cytopathology.
Cancer cytopathology
Aug 14, 2019
BACKGROUND: Unlike Papanicolaou tests, there are no commercially available computer-assisted automated screening systems for urine specimens. Despite The Paris System for Reporting Urinary Cytology, there still is poor interobserver agreement with ur...
Correlation and Significance of Urinary Soluble Fas and Vascular Endothelial Growth Factor in Bladder Urothelial Cancer.
Disease markers
Dec 20, 2015
AIM: To investigate the correlation and significance between the urine soluble Fas (sFas) and vascular endothelial growth factor (VEGF) expression in patients with urothelial bladder carcinoma (UC).
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