Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images
出版年份 2021 全文链接
标题
Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images
作者
关键词
-
出版物
Biomed Research International
Volume 2021, Issue -, Pages 1-15
出版商
Hindawi Limited
发表日期
2021-05-05
DOI
10.1155/2021/5584004
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- DCE-MRI pharmacokinetic parameter maps for cervical carcinoma prediction
- (2020) Jianbo Shao et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI
- (2020) Wenqing Hua et al. Biomedical Signal Processing and Control
- Machine learning for assisting cervical cancer diagnosis: An ensemble approach
- (2020) Jiayi Lu et al. Future Generation Computer Systems-The International Journal of eScience
- ColpoNet for automated cervical cancer screening using colposcopy images
- (2020) Sumindar Kaur Saini et al. MACHINE VISION AND APPLICATIONS
- Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities
- (2020) Ahmed Alghamdi et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods
- (2020) Muhammad Fazal Ijaz et al. SENSORS
- Inception v3 based cervical cell classification combined with artificially extracted features
- (2020) N. Dong et al. APPLIED SOFT COMPUTING
- A knowledge-based organ dose prediction tool for brachytherapy treatment planning of patients with cervical cancer
- (2020) Tahir I. Yusufaly et al. Brachytherapy
- Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation
- (2020) Hongjun Su et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Machine Learning Predicts Lymph Node Metastasis in Early-Stage Oral Tongue Squamous Cell Carcinoma
- (2020) Jie Shan et al. JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY
- Diagnostic spectro-cytology revealing differential recognition of cervical cancer lesions by label-free surface enhanced Raman fingerprints and chemometrics
- (2020) Varsha Karunakaran et al. Nanomedicine-Nanotechnology Biology and Medicine
- Classification of cervical neoplasms on colposcopic photography using deep learning
- (2020) Bum-Joo Cho et al. Scientific Reports
- Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection
- (2020) Wojciech Książek et al. Biocybernetics and Biomedical Engineering
- Cervical Cell Classification with Graph Convolutional Network
- (2020) Jun Shi et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Prediction of disease recurrence according to surgical approach of primary radical hysterectomy in patients with early-stage cervical cancer using machine learning methods
- (2020) S.I. Kim et al. GYNECOLOGIC ONCOLOGY
- Detection of cervical cancer cells based on strong feature CNN-SVM network
- (2020) A. Dongyao Jia et al. NEUROCOMPUTING
- Rapid identification of cervical adenocarcinoma and cervical squamous cell carcinoma tissue based on Raman spectroscopy combined with multiple machine learning algorithms
- (2020) Huiting Zhang et al. Photodiagnosis and Photodynamic Therapy
- Estimates of the global burden of cervical cancer associated with HIV
- (2020) Dominik Stelzle et al. Lancet Global Health
- An intensity factorized thresholding based segmentation technique with gradient discrete wavelet fusion for diagnosing stroke and tumor in brain MRI
- (2019) B. Deepa et al. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
- MLSeq: Machine learning interface for RNA-sequencing data
- (2019) Dincer Goksuluk et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Cervical precancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images
- (2019) Tao Zhang et al. Biomedical Signal Processing and Control
- Cervical cancer classification using convolutional neural networks and extreme learning machines
- (2019) Ahmed Ghoneim et al. Future Generation Computer Systems-The International Journal of eScience
- Automatic microscopic image analysis by moving window local Fourier Transform and Machine Learning
- (2019) Benedykt R. Jany et al. MICRON
- A novel gene panel for prediction of lymph-node metastasis and recurrence in patients with thyroid cancer
- (2019) Emmanuelle M.L. Ruiz et al. SURGERY
- A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images
- (2018) Wasswa William et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Urine Proteome Profiling Predicts Lung Cancer from Control Cases and Other Tumors
- (2018) Chunchao Zhang et al. EBioMedicine
- Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification
- (2018) Kemal Adem et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multi-feature based benchmark for cervical dysplasia classification evaluation
- (2017) Tao Xu et al. PATTERN RECOGNITION
- A Quantum Hybrid PSO Combined with Fuzzy k-NN Approach to Feature Selection and Cell Classification in Cervical Cancer Detection
- (2017) Abdullah Iliyasu et al. SENSORS
- New Cervical Cancer Screening Guidelines, Again
- (2013) Nicole Karjane et al. OBSTETRICS AND GYNECOLOGY CLINICS OF NORTH AMERICA
- Current guidelines for cervical cancer screening
- (2012) Constance Schwaiger et al. Journal of the American Academy of Nurse Practitioners
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started