AIMC Topic: Papanicolaou Test

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A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.

Tissue & cell Feb 20, 2020
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily perceived by commercially available and current research-based decision support systems when the scenario of pathologists to patient ratio is small. T...
Female Uterine Cervical Neoplasms Deep Learning Humans Neural Networks, Computer Algorithms Area Under Curve Models, Biological Databases as Topic ROC Curve Papanicolaou Test Image Processing, Computer-Assisted
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Saliency-driven system models for cell analysis with deep learning.

Computer methods and programs in biomedicine Aug 26, 2019
BACKGROUND AND OBJECTIVES: Saliency refers to the visual perception quality that makes objects in a scene to stand out from others and attract attention. While computational saliency models can simulate the expert's visual attention, there is little ...
Deep Learning Papanicolaou Test Cervix Uteri Humans Neural Networks, Computer Female
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Adaptation of CytoProcessor for cervical cancer screening of challenging slides.

Diagnostic cytopathology May 20, 2019
BACKGROUND: Current automated cervical cytology screening systems require purchase of a dedicated preparation machine and use of a specific staining protocol. CytoProcessor (DATEXIM, Caen, France) is a new automated system, designed to integrate seam...
Female Uterine Cervical Neoplasms Papanicolaou Test Image Processing, Computer-Assisted Vaginal Smears Mass Screening Humans Artificial Intelligence
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CytoProcessorTM: A New Cervical Cancer Screening System for Remote Diagnosis.

Acta cytologica Mar 28, 2019
BACKGROUND: Current automated cervical cytology screening systems still heavily depend on manipulation of glass slides. We developed a new system called CytoProcessorTM (DATEXIM, Caen, France), which increases sensitivity and takes advantage of virtu...
Uterine Cervical Neoplasms Middle Aged Adolescent Young Adult Cytodiagnosis Humans Artificial Intelligence Adult Papanicolaou Test Mass Screening Sensitivity and Specificity Female Early Detection of Cancer Aged
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Artificial intelligence in cytopathology: a review of the literature and overview of commercial landscape.

Journal of the American Society of Cytopathology Mar 25, 2019
Artificial intelligence (AI) has made impressive strides recently in interpreting complex images, thanks to improvements in deep learning techniques and increasing computational power. Researchers have started applying these advanced techniques to pa...
Humans Female Neoplasms Deep Learning Decision Support Systems, Clinical Papanicolaou Test Biopsy, Fine-Needle Vaginal Smears Computational Biology Cytodiagnosis
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Deep learning-based super-resolution in coherent imaging systems.

Scientific reports Mar 8, 2019
We present a deep learning framework based on a generative adversarial network (GAN) to perform super-resolution in coherent imaging systems. We demonstrate that this framework can enhance the resolution of both pixel size-limited and diffraction-lim...
Holography Equipment Design Microscopy Image Enhancement Software Female Lung Deep Learning Papanicolaou Test Vaginal Smears Humans Neural Networks, Computer
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Deep learning for cell image segmentation and ranking.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 30, 2019
Ninety years after its invention, the Pap test continues to be the most used method for the early identification of cervical precancerous lesions. In this test, the cytopathologists look for microscopic abnormalities in and around the cells, which is...
Deep Learning Papanicolaou Test Image Processing, Computer-Assisted Algorithms Female Uterine Cervical Neoplasms Humans Neural Networks, Computer
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DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

IEEE journal of biomedical and health informatics May 19, 2017
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effective cell imaging based cancer detection tool, where cells are partitioned into "abnormal" and "normal" categories. However, the success of most trad...
Cervix Uteri Female Humans Image Interpretation, Computer-Assisted Papanicolaou Test Neural Networks, Computer Vaginal Smears Machine Learning
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Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System.

Cancer cytopathology Jul 1, 2025
BACKGROUND: Medical technologies powered by artificial intelligence are quickly transforming into practical solutions by rapidly leveraging massive amounts of data processed via deep learning algorithms. There is a necessity to validate these innovat...
Adult Sensitivity and Specificity Uterine Cervical Neoplasms Humans Artificial Intelligence Female Early Detection of Cancer Cytodiagnosis Atypical Squamous Cells of the Cervix Middle Aged Papanicolaou Test Vaginal Smears
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Solving the problem of imbalanced dataset with synthetic image generation for cell classification using deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
The low number of annotated training images and class imbalance in the field of machine learning is a common problem that is faced in many applications. With this paper, we focus on a clinical dataset where cells were extracted in a previous research...
Humans Machine Learning Female Deep Learning Papanicolaou Test Vaginal Smears
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