DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Authors
Keywords
Cervical cancer, Classification, Ensemble learning, Feature fusion, Deep learning, Pap smear, Late fusion, Cervical cell
Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 136, Issue -, Pages 104649
Publisher
Elsevier BV
Online
2021-07-20
DOI
10.1016/j.compbiomed.2021.104649
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
- (2020) Aditya Khamparia et al. JOURNAL OF SUPERCOMPUTING
- Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images
- (2020) Kyi Pyar Win et al. Applied Sciences-Basel
- A survey of the recent architectures of deep convolutional neural networks
- (2020) Asifullah Khan et al. ARTIFICIAL INTELLIGENCE REVIEW
- Cervical Cell Classification with Graph Convolutional Network
- (2020) Jun Shi et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches
- (2020) Md Mamunur Rahaman et al. Journal of X-Ray Science and Technology
- Cervical Cancer, Different Treatments and Importance of Bile Acids as Therapeutic Agents in This Disease
- (2019) Tanja Šarenac et al. Frontiers in Pharmacology
- Multi-modal classifier fusion with feature cooperation for glaucoma diagnosis
- (2019) Nacer Eddine Benzebouchi et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- Integrated design of deep features fusion for localization and classification of skin cancer
- (2019) Javeria Amin et al. PATTERN RECOGNITION LETTERS
- Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
- (2018) J. Ferlay et al. INTERNATIONAL JOURNAL OF CANCER
- Computer Aided Diagnosis System for Detection of Cancer Cells on Cytological Pleural Effusion Images
- (2018) Khin Yadanar Win et al. Biomed Research International
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Handcrafted vs. non-handcrafted features for computer vision classification
- (2017) Loris Nanni et al. PATTERN RECOGNITION
- An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification
- (2017) Ashnil Kumar et al. IEEE Journal of Biomedical and Health Informatics
- DeepPap: Deep Convolutional Networks for Cervical Cell Classification
- (2017) Ling Zhang et al. IEEE Journal of Biomedical and Health Informatics
- Computer Aided Detection of Cervical Cancer Using Pap Smear Images Based on Adaptive Neuro Fuzzy Inference System Classifier
- (2016) P. Sukumar et al. Journal of Medical Imaging and Health Informatics
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Rotation-invariant convolutional neural networks for galaxy morphology prediction
- (2015) Sander Dieleman et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology Screening Guidelines for the Prevention and Early Detection of Cervical Cancer
- (2012) Debbie Saslow et al. AMERICAN JOURNAL OF CLINICAL PATHOLOGY
- American society of cytopathology workload recommendations for automated pap test screening: Developed by the productivity and quality assurance in the era of automated screening task force
- (2012) Tarik M. Elsheikh et al. DIAGNOSTIC CYTOPATHOLOGY
- Unsupervised segmentation and classification of cervical cell images
- (2012) Aslı Gençtav et al. PATTERN RECOGNITION
- A qualitative analysis of South African women's knowledge, attitudes, and beliefs about HPV and cervical cancer prevention, vaccine awareness and acceptance, and maternal-child communication about sexual health
- (2011) Shelley A. Francis et al. VACCINE
- Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification
- (2009) Yannis Marinakis et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Particle swarm optimization for pap-smear diagnosis
- (2007) Yannis Marinakis et al. EXPERT SYSTEMS WITH APPLICATIONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search