Deep Learning in Cervical Cancer Diagnosis: Architecture, Opportunities, and Open Research Challenges

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

(2022) Xintong Li et al.   ARTIFICIAL INTELLIGENCE REVIEW

Radiomics Diagnostic Tool Based on Deep Learning for Colposcopy Image Classification

(2022) Yuliana Jiménez Gaona et al.   Diagnostics

The Accuracy of Cytology, Colposcopy and Pathology in Evaluating Precancerous Cervical Lesions

(2022) Liana Pleş et al.   Diagnostics

Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review

(2022) Leila Allahqoli et al.   Diagnostics

Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study

(2021) Xiangyu Tan et al.   Cancer Cell International

Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches

(2020) Sondes Gharsellaoui et al.   Energies

Cervical cancer mortality in young adult European women

(2020) Cezary Wojtyla et al.   EUROPEAN JOURNAL OF CANCER

Deep learning in medical image registration: a review

(2020) Yabo Fu et al.   PHYSICS IN MEDICINE AND BIOLOGY

Deep learning for cell image segmentation and ranking

(2019) Flávio H.D. Araújo et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Histological correlation between smartphone and coloposcopic findings in patients with abnormal cervical cytology: experiences in a tertiary referral hospital

(2019) Yusuke Tanaka et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Cervical cell recognition based on AGVF-Snake algorithm

(2019) Na Dong et al.   International Journal of Computer Assisted Radiology and Surgery

Key Molecular Events in Cervical Cancer Development

(2019) Shandra Devi Balasubramaniam et al.   Medicina-Lithuania

Pap smear classification using combination of global significant value, texture statistical features and time series features

(2019) Shervan Fekri-Ershad   MULTIMEDIA TOOLS AND APPLICATIONS

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

(2019) Khushboo Munir et al.   Cancers

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals

(2019) Ozal Yildirim et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification

(2019) Teresa Conceição et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Cervical precancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images

(2019) Tao Zhang et al.   Biomedical Signal Processing and Control

Detection of cervical lesion region from colposcopic images based on feature reselection

(2019) Bing Bai et al.   Biomedical Signal Processing and Control

An efficient cervical disease diagnosis approach using segmented images and cytology reporting

(2019) Hao Chen et al.   Cognitive Systems Research

Convolutional neural networks for multi-class brain disease detection using MRI images

(2019) Muhammed Talo et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A fully-automated deep learning pipeline for cervical cancer classification

(2019) Zaid Alyafeai et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV types

(2019) Yasunari Miyagi et al.   Oncology Letters

An efficient compression of ECG signals using deep convolutional autoencoders

(2018) Ozal Yildirim et al.   Cognitive Systems Research

Survey on deep learning for radiotherapy

(2018) Philippe Meyer et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images

(2018) U Raghavendra et al.   INFORMATION SCIENCES

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Cervical image classification based on image segmentation preprocessing and a CapsNet network model

(2018) XiaoQing Zhang et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data

(2018) Jiri Chmelik et al.   MEDICAL IMAGE ANALYSIS

Automatic classification of cervical cancer from cytological images by using convolutional neural network

(2018) Miao Wu et al.   BIOSCIENCE REPORTS

An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening

(2018) Liming Hu et al.   JNCI-Journal of the National Cancer Institute

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Multi-feature based benchmark for cervical dysplasia classification evaluation

(2017) Tao Xu et al.   PATTERN RECOGNITION

DeepPap: Deep Convolutional Networks for Cervical Cell Classification

(2017) Ling Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Automatic screening of cervical cells using block image processing

(2016) Meng Zhao et al.   Biomedical Engineering Online

Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines

(2016) Gijs van Tulder et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation

(2016) Hongyuan Zhu et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Cervical Cancer, Version 2.2015

(2015) Wui-Jin Koh et al.   Journal of the National Comprehensive Cancer Network

Deep learning

(2015) Yann LeCun et al.   NATURE

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

(2013) Heung-Il Suk et al.   Brain Structure & Function

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

(2009) Evangelia I. Zacharaki et al.   MAGNETIC RESONANCE IN MEDICINE

Border detection in dermoscopy images using statistical region merging

(2008) M. Emre Celebi et al.   SKIN RESEARCH AND TECHNOLOGY