AIMC Topic: Cytodiagnosis

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A hybrid compound scaling hypergraph neural network for robust cervical cancer subtype classification using whole slide cytology images.

Scientific reports Jul 1, 2025
Cervical cancer is a major cause of mortality among women, particularly in low-income countries with insufficient screening programs. Manual cytological examination is time-consuming, error-prone and subject to inter-observer variability. Automated a...
Female Uterine Cervical Neoplasms Deep Learning Cytodiagnosis Humans Neural Networks, Computer
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Ovarian Cancer Detection in Ascites Cytology with Weakly Supervised Model on Nationwide Data Set.

The American journal of pathology Apr 30, 2025
Conventional ascitic fluid cytology for detecting ovarian cancer is limited by its low sensitivity. To address this issue, this multicenter study developed patch image (PI)-based fully supervised convolutional neural network (CNN) models and clusteri...
Ovarian Neoplasms Ascites Cytodiagnosis Neural Networks, Computer Algorithms Female Humans Ascitic Fluid
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Peritoneal cytology predicting distant metastasis in uterine carcinosarcoma: machine learning model development and validation.

World journal of surgical oncology Apr 26, 2025
OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to predict distant metastasis in uterine carcinosarcoma, aiding clinical decision-making.
SEER Program Peritoneum Carcinosarcoma Cytodiagnosis Peritoneal Neoplasms Uterine Neoplasms Machine Learning Prognosis Female Nomograms Follow-Up Studies Aged Middle Aged Humans
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Single-Cell Sequencing-Guided Annotation of Rare Tumor Cells for Deep Learning-Based Cytopathologic Diagnosis of Early Lung Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 15, 2025
Deep learning (DL) models for medical image analysis are majorly bottlenecked by the lack of well-annotated datasets. Bronchoalveolar lavage (BAL) is a minimally invasive procedure to diagnose lung cancer, but BAL cytology suffers from low sensitivit...
Deep Learning Single-Cell Analysis Lung Neoplasms Humans Bronchoalveolar Lavage Fluid Female Male Early Detection of Cancer Cytodiagnosis
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Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection.

Nature communications Apr 13, 2025
Deep learning (DL) enabled liquid-based cytology has potential for cervical cancer screening or triage. Here, we develop a DL model using whole cytology slides from 17,397 women and test it on 10,826 additional cases through a three-stage process. Th...
Mass Screening Cervix Uteri Early Detection of Cancer Deep Learning Vaginal Smears Papillomavirus Infections Uterine Cervical Dysplasia Triage Cytodiagnosis Precancerous Conditions Humans Female Adult Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged
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Will artificial intelligence (AI) replace cytopathologists: a scoping review of current applications and evidence of A.I. in urine cytology.

World journal of urology Apr 1, 2025
PURPOSE: Urine cytology, while valuable in facilitating the detection and surveillance of bladder cancer, has notable limitations. The application of artificial intelligence (AI) in urine cytology holds significant promise for improving diagnostic ac...
Humans Artificial Intelligence Urinary Bladder Neoplasms Cytodiagnosis Urine Urinalysis
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Digital Cytology Combined With Artificial Intelligence Compared to Conventional Microscopy for Anal Cytology: A Preliminary Study.

Cytopathology : official journal of the British Society for Clinical Cytology Mar 11, 2025
INTRODUCTION: Recent studies have shown that digital cytology (DC) coupled with artificial intelligence (AI) algorithms is a valid approach to the diagnosis of cervico-vaginal lesions using liquid-based cytology (LBC). We evaluated the use of these m...
Humans Artificial Intelligence Adult Uterine Cervical Neoplasms Female Aged Anus Neoplasms Middle Aged Anal Canal Cytodiagnosis Microscopy
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Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

Acta cytologica Feb 3, 2025
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytop...
Cytodiagnosis Adult Image Interpretation, Computer-Assisted Carcinoma, Squamous Cell Male Early Detection of Cancer Reproducibility of Results Middle Aged Predictive Value of Tests Humans Aged Pilot Projects Mouth Neoplasms Artificial Intelligence Papanicolaou Test Female Squamous Cell Carcinoma of Head and Neck
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Automated recognition and segmentation of lung cancer cytological images based on deep learning.

PloS one Jan 31, 2025
Compared with histological examination of lung cancer, cytology is less invasive and provides better preservation of complete morphology and detail. However, traditional cytological diagnosis requires an experienced pathologist to evaluate all sectio...
Bronchoalveolar Lavage Fluid Humans ROC Curve Neural Networks, Computer Lung Neoplasms Image Processing, Computer-Assisted Algorithms Cytodiagnosis Deep Learning
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Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology.

BMC cancer Jan 3, 2025
OBJECTIVE: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained...
Cytodiagnosis Deep Learning China Humans Lung Neoplasms Retrospective Studies
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