Cargando…

Deep Metric Learning for Cervical Image Classification

Cervical cancer is caused by the persistent infection of certain types of the Human Papillomavirus (HPV) and is a leading cause of female mortality particularly in low and middle-income countries (LMIC). Visual inspection of the cervix with acetic acid (VIA) is a commonly used technique in cervical...

Descripción completa

Detalles Bibliográficos
Autores principales:	PAL, ANABIK, XUE, ZHIYUN, BEFANO, BRIAN, RODRIGUEZ, ANA CECILIA, LONG, L. RODNEY, SCHIFFMAN, MARK, ANTANI, SAMEER
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224396/ https://www.ncbi.nlm.nih.gov/pubmed/34178558 http://dx.doi.org/10.1109/access.2021.3069346

Ejemplares similares

Network Visualization and Pyramidal Feature Comparison for Ablative Treatability Classification Using Digitized Cervix Images
por: Guo, Peng, et al.
Publicado: (2021)

Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening
por: Guo, Peng, et al.
Publicado: (2020)

The development of “automated visual evaluation” for cervical cancer screening: The promise and challenges in adapting deep‐learning for clinical testing
por: Desai, Kanan T., et al.
Publicado: (2021)

Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation
por: Guo, Peng, et al.
Publicado: (2020)

DeepCIN: Attention-Based Cervical histology Image Classification with Sequential Feature Modeling for Pathologist-Level Accuracy
por: Sornapudi, Sudhir, et al.
Publicado: (2020)

Spatiotemporal feature extraction and classification of Alzheimer’s disease using deep learning 3D-CNN for fMRI data
por: Parmar, Harshit, et al.
Publicado: (2020)

Unsupervised Deep Learning Registration of Uterine Cervix Sequence Images
por: Guo, Peng, et al.
Publicado: (2022)

Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2023)

Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2022)

Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2023)

Improving the repeatability of deep learning models with Monte Carlo dropout
por: Lemay, Andreanne, et al.
Publicado: (2022)

Aurora Image Classification with Deep Metric Learning
por: Endo, Takeru, et al.
Publicado: (2022)

Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation
por: Parham, Groesbeck P., et al.
Publicado: (2023)

EpithNet: Deep Regression for Epithelium Segmentation in Cervical Histology Images
por: Sornapudi, Sudhir, et al.
Publicado: (2020)

A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2022)

REPRODUCIBLE AND CLINICALLY TRANSLATABLE DEEP NEURAL NETWORKS FOR CANCER SCREENING
por: Ahmed, Syed Rakin, et al.
Publicado: (2023)

Enhancements in localized classification for uterine cervical cancer digital histology image assessment
por: Guo, Peng, et al.
Publicado: (2016)

Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels
por: Sornapudi, Sudhir, et al.
Publicado: (2018)

A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2022)

Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2020)

Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detection
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2020)

Automated Cervical Digitized Histology Whole-Slide Image Analysis Toolbox
por: Sornapudi, Sudhir, et al.
Publicado: (2021)

Novel loss functions for ensemble-based medical image classification
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2021)

Cross Dataset Analysis of Domain Shift in CXR Lung Region Detection
por: Xue, Zhiyun, et al.
Publicado: (2023)

Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review
por: Santosh, KC, et al.
Publicado: (2022)

Zero-Shot Image Classification Based on a Learnable Deep Metric
por: Liu, Jingyi, et al.
Publicado: (2021)

Kernel-based distance metric learning for microarray data classification
por: Xiong, Huilin, et al.
Publicado: (2006)

Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2019)

Metric Learning in Histopathological Image Classification: Opening the Black Box
por: Amato, Domenico, et al.
Publicado: (2023)

Low Risk of Cervical Cancer/Precancer Among Most Women Under Surveillance Postcolposcopy
por: Demarco, Maria, et al.
Publicado: (2018)

Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2022)

Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images
por: Park, Ye Rang, et al.
Publicado: (2021)

Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2020)

Classification of cervical neoplasms on colposcopic photography using deep learning
por: Cho, Bum-Joo, et al.
Publicado: (2020)

Risk of miscarriage with bivalent vaccine against human papillomavirus (HPV) types 16 and 18: pooled analysis of two randomised controlled trials
por: Wacholder, Sholom, et al.
Publicado: (2010)

Assessing Inter-Annotator Agreement for Medical Image Segmentation
por: YANG, FENG, et al.
Publicado: (2023)

Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2021)

A Semi-supervised Deep Learning Method for Cervical Cell Classification
por: Zhao, Siqi, et al.
Publicado: (2022)

Leaf disease image retrieval with object detection and deep metric learning
por: Peng, Yingshu, et al.
Publicado: (2022)

Distribution Structure Learning Loss (DSLL) Based on Deep Metric Learning for Image Retrieval
por: Fan, Lili, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_ijh0l39q9gku3oblchq2cglnan