A fuzzy rank-based ensemble of CNN models for classification of cervical cytology
Cervical cancer affects more than 0.5 million women annually causing more than 0.3 million
deaths. Detection of cancer in its early stages is of prime importance for eradicating the …
deaths. Detection of cancer in its early stages is of prime importance for eradicating the …
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) constitutes a public
health emergency globally. The number of infected people and deaths are proliferating …
health emergency globally. The number of infected people and deaths are proliferating …
An application of transfer learning and ensemble learning techniques for cervical histopathology image classification
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL)
and Ensemble Learning (EL) techniques in cervical histopathology image analysis …
and Ensemble Learning (EL) techniques in cervical histopathology image analysis …
A review for cervical histopathology image analysis using machine vision approaches
Because cervical histopathology image analysis plays a very importation role in the cancer
diagnosis and medical treatment processes, since the 1980s, more and more effective …
diagnosis and medical treatment processes, since the 1980s, more and more effective …
Imaging based cervical cancer diagnostics using small object detection-generative adversarial networks
R Elakkiya, KSS Teja, L Jegatha Deborah… - Multimedia Tools and …, 2022 - Springer
Cervical cancer is one of the curable cancers when it is diagnosed in the early stages. Pap
smear test and visual inspection using acetic acid are the most common screening …
smear test and visual inspection using acetic acid are the most common screening …
Deep features selection through genetic algorithm for cervical pre-cancerous cell classification
Cervical cancer affects more than 500,000 women in the world annually accounting for
about 6-9% of all cancer cases, but, its tedious detection procedure makes population-wide …
about 6-9% of all cancer cases, but, its tedious detection procedure makes population-wide …
An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography.
Glaucoma is a chronic ocular degenerative disease that can cause blindness if left untreated
in its early stages. Deep Convolutional Neural Networks (Deep CNNs) and its variants have …
in its early stages. Deep Convolutional Neural Networks (Deep CNNs) and its variants have …
HDFCN: A robust hybrid deep network based on feature concatenation for cervical cancer diagnosis on WSI pap smear slides
Cervical cancer is a critical imperilment to a female's health due to its malignancy and fatality
rate. The disease can be thoroughly cured by locating and treating the infected tissues in the …
rate. The disease can be thoroughly cured by locating and treating the infected tissues in the …
A CAD system for automatic dysplasia grading on H&E cervical whole-slide images
Cervical cancer is the fourth most common female cancer worldwide and the fourth leading
cause of cancer-related death in women. Nonetheless, it is also among the most …
cause of cancer-related death in women. Nonetheless, it is also among the most …
An improved deep learning based cervical cancer detection using a median filter based preprocessing
Cervical cancer is one of the prevalent type of cancer among women although its treatment
success is the highest when compared to other types of cancer once diagnosed. Automatic …
success is the highest when compared to other types of cancer once diagnosed. Automatic …