Related references
Note: Only part of the references are listed.Cytology Image Analysis Techniques Toward Automation: Systematically Revisited
Shyamali Mitra et al.
ACM COMPUTING SURVEYS (2022)
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
Cervical cell classification with graph convolutional network
Jun Shi et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)
A systematic review on overfitting control in shallow and deep neural networks
Mohammad Mahdi Bejani et al.
ARTIFICIAL INTELLIGENCE REVIEW (2021)
The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective
Mohamed Elgendi et al.
FRONTIERS IN MEDICINE (2021)
Efficient Stain-Aware Nuclei Segmentation Deep Learning Framework for Multi-Center Histopathological Images
Loay Hassan et al.
ELECTRONICS (2021)
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Md Mamunur Rahaman et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
A review of medical image data augmentation techniques for deep learning applications
Phillip Chlap et al.
JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY (2021)
Diverse data augmentation for learning image segmentation with cross-modality annotations
Xu Chen et al.
MEDICAL IMAGE ANALYSIS (2021)
A generalized deep learning framework for whole-slide image segmentation and analysis
Mahendra Khened et al.
SCIENTIFIC REPORTS (2021)
A fuzzy rank-based ensemble of CNN models for classification of cervical cytology
Ankur Manna et al.
SCIENTIFIC REPORTS (2021)
Cric searchable image database as a public platform for conventional pap smear cytology data
Mariana T. Rezende et al.
SCIENTIFIC DATA (2021)
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images
Samuel Ortega et al.
MEDICAL IMAGING 2020: DIGITAL PATHOLOGY (2021)
Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology
Martin Halicek et al.
MEDICAL IMAGING 2020: DIGITAL PATHOLOGY (2021)
Cervical Cancer Screening: Comparison of Conventional Pap Smear Test, Liquid-Based Cytology, and Human Papillomavirus Testing as Stand-alone or Cotesting Strategies
Linda A. Liang et al.
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2021)
Segmentation of cervical cells for automated screening of cervical cancer: a review
Abid Sarwar et al.
ARTIFICIAL INTELLIGENCE REVIEW (2020)
An image augmentation approach using two-stage generative adversarial network for nuclei image segmentation
Siddharth Pandey et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network
Vivek Kumar Singh et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images
Kyi Pyar Win et al.
APPLIED SCIENCES-BASEL (2020)
Test-time augmentation for deep learning-based cell segmentation on microscopy images
Nikita Moshkov et al.
SCIENTIFIC REPORTS (2020)
Improving classification accuracy using data augmentation on small data sets
Francisco J. Moreno-Barea et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Comparison of Liquid-Based Cytology and Conventional Papanicolaou Smear for Cervical Cancer Screening: An Experience From Pakistan
Atif A. Hashmi et al.
CUREUS JOURNAL OF MEDICAL SCIENCE (2020)
A Narrative Review: Classification of Pap Smear Cell Image for Cervical Cancer Diagnosis
Wan Azani Mustafa et al.
ONCOLOGIE (2020)
A Survey for Cervical Cytopathology Image Analysis Using Deep Learning
Md Mamunur Rahaman et al.
IEEE ACCESS (2020)
A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images
Wasswa William et al.
BIOMEDICAL ENGINEERING ONLINE (2019)
A survey on Image Data Augmentation for Deep Learning
Connor Shorten et al.
JOURNAL OF BIG DATA (2019)
Can LBC Completely Replace Conventional Pap Smear in Developing Countries
Vasundhara Kamineni et al.
JOURNAL OF OBSTETRICS AND GYNECOLOGY OF INDIA (2019)
Segmentation and Classification of Cervical Cells Using Deep Learning
Kurnianingsih et al.
IEEE ACCESS (2019)
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Changhee Han et al.
IEEE ACCESS (2019)
Impact of Widespread Cervical Cancer Screening: Number of Cancers Prevented and Changes in Race-specific Incidence
Daniel X. Yang et al.
AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS (2018)
A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images
Wasswa William et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
Comparative study between liquid-based cytology & conventional Pap smear for cytological follow up of treated patients of cancer cervix
Uma Singh et al.
INDIAN JOURNAL OF MEDICAL RESEARCH (2018)
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
Maayan Frid-Adar et al.
NEUROCOMPUTING (2018)
DeepPap: Deep Convolutional Networks for Cervical Cell Classification
Ling Zhang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Automated classification of Pap smear images to detect cervical dysplasia
Kangkana Bora et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Performance Analysis of GPU-based Convolutional Neural Networks
Xiaqing Li et al.
PROCEEDINGS 45TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING - ICPP 2016 (2016)
Unsupervised segmentation of cervical cell images using Gaussian Mixture Model
Srikanth Ragothaman et al.
PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016) (2016)
Bethesda 2014: improving on a paradigm shift
D. C. Wilbur et al.
CYTOPATHOLOGY (2015)
Automatic cervical cell segmentation and classification in Pap smears
Thanatip Chankong et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2014)
Pap smear cell image classification using global MPEG-7 descriptors
Luz H Camargo et al.
Diagnostic Pathology (2013)
Reduced cervical cancer incidence and mortality in Canada: national data from 1932 to 2006
James A. Dickinson et al.
BMC PUBLIC HEALTH (2012)
Unsupervised segmentation and classification of cervical cell images
Asli Genctav et al.
PATTERN RECOGNITION (2012)
An overview of prevention and early detection of cervical cancers
Gauravi A. Mishra et al.
INDIAN JOURNAL OF MEDICAL AND PAEDIATRIC ONCOLOGY (2011)
Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification
Yannis Marinakis et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2009)
Public health policy for cervical cancer prevention: The role of decision science, economic evaluation, and mathematical modeling
Sue J. Goldie et al.
VACCINE (2006)