… a convolutional neural network to directly classify images, … , and neuron death in convolutional
neural networks, the cervix … and potential impact in cervical cancer screening. It can …

… they are abnormal under a microscope. This method is time-… Convolutional neural network
(CNN) is an important end-to-… precancerous lesions and cervical cancer patients of different …

… cervix have been investigated utilizing digitized glass slide … DL model based on a convolutional
neural network (CNN) by … , equivalent to a 10× objective lens of an optical microscope (…

… Convolutional neural networks (CNNs) and vision … However, for cancer classification, we
utilized only the cell images … optical microscope (OLYMPUS BX53F). Then, by cropping these …

… pap cytology is crucial for early cervical cancer screening and … transform the microscopic
digital images into quantitative … with study using Convolutional Neural Network by Lin et al. […

… These results clearly demonstrated the feasibility of DL-based classifiers for the discrimination
of cancers from the cervix and uterus. We expect that the performance of the classifiers …

… Microscopic image-based analysis has been extensively … with multispectral imaging in cervical
cancer screening. Therefore, … image classification: From convolutional neural networks to …

… examine cervical cells using a microscope to detect … for the classification of pap smear images
of the cervical cell by … the ViT and the MobileNet deep convolution neural network (DCNN). …

… under a microscope for cervical cancer or cell changes that could … cervical cells by using a
convolutional neural network (CNN) and retrieving feature vectors from images of cervical cells…

… cytologists to handle the microscopy, which is unattainable in … convolutional neural network
(R-CNN) for the classification of … acquisition, we develop a cervix detection network to crop …