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。Cervical cell classification with graph convolutional network
Jun Shi et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
Lung Nodule Detection based on Faster R-CNN Framework
Ying Su et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)
Diagnosis of cervical precancerous lesions based on multimodal feature changes
Gengyou Peng et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
Automatic detection of COVID-19 disease using U-Net architecture based fully convolutional network
Prasad Kalane et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Convolutional neural networks for breast cancer detection in mammography: A survey
Leila Abdelrahman et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
Original Research Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification
Julia Hoehn et al.
EUROPEAN JOURNAL OF CANCER (2021)
Breast mass classification with transfer learning based on scaling of deep representations
Michal Byra
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Multifaceted fused-CNN based scoring of breast cancer whole-slide histopathology images
Noorul Wahab et al.
APPLIED SOFT COMPUTING (2020)
Improving Computer-Aided Cervical Cells Classification Using Transfer Learning Based Snapshot Ensemble
Wen Chen et al.
APPLIED SCIENCES-BASEL (2020)
Artificial neural network based screening of cervical cancer using a hierarchical modular neural network architecture (HMNNA) and novel benchmark uterine cervix cancer database
Mehbob Ali et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Automatic cell nuclei segmentation and classification of cervical Pap smear images
Pin Wang et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
Biomedical image classification based on a feature concatenation and ensemble of deep CNNs
Long D. Nguyen et al.
Journal of Ambient Intelligence and Humanized Computing (2019)
A blueprint for cancer screening and early detection: Advancing screening's contribution to cancer control
Richard C. Wender et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2019)
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks
Haoming Lin et al.
IEEE ACCESS (2019)
Segmentation and Classification of Cervical Cells Using Deep Learning
Kurnianingsih et al.
IEEE ACCESS (2019)
The health and economic impact of scaling cervical cancer prevention in 50 low-and lower-middle-income countries
Nicole G. Campos et al.
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
DeepPap: Deep Convolutional Networks for Cervical Cell Classification
Ling Zhang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System
Jie Su et al.
ANALYTICAL CELLULAR PATHOLOGY (2016)
Automatic cervical cell segmentation and classification in Pap smears
Thanatip Chankong et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2014)
Discriminative features for texture description
Yimo Guo et al.
PATTERN RECOGNITION (2012)
Local binary patterns variants as texture descriptors for medical image analysis
Loris Nanni et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2010)
分享论文
