… in the field of cervical cancer detection. To address these … In this study, we construct a deep
convolutional neural network … and microscope, which contains 917 images of single cells. …

… phase by proposing a novel approach for cervical cancer detection. They used a pre-trained
convolution neural network with a SVM at the back end. This innovative approach is …

… cancer diagnosis. Despite positive findings, there are still deficiencies with the current methods
for cervical cancer diagnosis and classification … and analysis of microscope images. This …

… is confirmed by visual examination of histopathology images under a microscope. These …
techniques for predicting the cervix type using neural networks. International Conference …

… are collected and examined under a microscope. The process of examining the … The cell
images were classified into four categories, which are mild, moderate, severe, and carcinoma. In …

… of cervical cell samples from the uterine cervix and their placement on a glass slide. After
visual inspection under a microscope, these are classified into different categories. … cell images …

… originally covering the upper part of the cervix into malignant tumors [1], which is the second
… multiple overlapping cervical cells in microscopic images using superpixel partitioning and …

… of instance segmentation on Pap smear images for cervical cancer quantification in this study.
… Again we know that shape is a fundamentally salient microscopic feature that commonly …

… Cervical cancer refers to the cancer which forms on the tissues of the uterine cervix, and
is … is accomplished through microscopic evaluation of whole-slide images by a qualified …

… Later, deep learning methods such as convolutional neural … cell detection in microscopy
images, fetal head detection in … and spatial features within neural network, where we recalibrate …