Convolutional neural networks in medical image understanding: a survey
DR Sarvamangala, RV Kulkarni - Evolutionary intelligence, 2022 - Springer
Imaging techniques are used to capture anomalies of the human body. The captured images
must be understood for diagnosis, prognosis and treatment planning of the anomalies …
must be understood for diagnosis, prognosis and treatment planning of the anomalies …
Automated detection and classification of cervical cancer using pap smear microscopic images: a comprehensive review and future perspectives
PB Shanthi, KS Hareesha, R Kudva - Engineered Science, 2022 - espublisher.com
Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …
last few decades. Cervical cancer is the main cause of mortality among women population …
Multi-feature based benchmark for cervical dysplasia classification evaluation
Cervical cancer is one of the most common types of cancer in women worldwide. Most
deaths due to the disease occur in less developed areas of the world. In this work, we …
deaths due to the disease occur in less developed areas of the world. In this work, we …
A review of computational methods for cervical cells segmentation and abnormality classification
Cervical cancer is the one of the most common cancers in women worldwide, affecting
around 570,000 new patients each year. Although there have been great improvements …
around 570,000 new patients each year. Although there have been great improvements …
Discriminative cervical lesion detection in colposcopic images with global class activation and local bin excitation
Accurate cervical lesion detection (CLD) methods using colposcopic images are highly
demanded in computer-aided diagnosis (CAD) for automatic diagnosis of High-grade …
demanded in computer-aided diagnosis (CAD) for automatic diagnosis of High-grade …
Recent advancement in cervical cancer diagnosis for automated screening: a detailed review
B Chitra, SS Kumar - Journal of Ambient Intelligence and Humanized …, 2022 - Springer
Cervical cancer is one of the most common and dangerous diseases for women. Initial
diagnosis and classification of cervical cancer are to reduce the mortality rate. The Pap …
diagnosis and classification of cervical cancer are to reduce the mortality rate. The Pap …
Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks
Accurate cell segmentation is essential for computer-aided diagnosis of cervical
precancerous lesions in cytology images. Automated segmentation poses a great challenge …
precancerous lesions in cytology images. Automated segmentation poses a great challenge …
Dual-attention EfficientNet based on multi-view feature fusion for cervical squamous intraepithelial lesions diagnosis
Y Guo, Y Wang, H Yang, J Zhang, Q Sun - Biocybernetics and Biomedical …, 2022 - Elsevier
Cervicograms are widely used in cervical cancer screening but exhibit a high misdiagnosis
rate. Even senior experts show only 48% specificity on clinical examinations. Most existing …
rate. Even senior experts show only 48% specificity on clinical examinations. Most existing …
Automatic CIN grades prediction of sequential cervigram image using LSTM with multistate CNN features
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical
practice, colposcopy is an indispensable part of screening for cervical intraepithelial …
practice, colposcopy is an indispensable part of screening for cervical intraepithelial …
An IoMT‐based smart remote monitoring system for healthcare
The IoT has evolved during the last decade, incorporating new technologies such as
machine learning, deep learning, supply chain, edge computing, security, and databases …
machine learning, deep learning, supply chain, edge computing, security, and databases …