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 …
Inception v3 based cervical cell classification combined with artificially extracted features
N Dong, L Zhao, CH Wu, JF Chang - Applied Soft Computing, 2020 - Elsevier
Traditional cell classification methods generally extract multiple features of the cell manually.
Moreover, the simple use of artificial feature extraction methods has low universality. For …
Moreover, the simple use of artificial feature extraction methods has low universality. For …
Accurate cervical cell segmentation from overlapping clumps in pap smear images
Accurate segmentation of cervical cells in Pap smear images is an important step in
automatic pre-cancer identification in the uterine cervix. One of the major segmentation …
automatic pre-cancer identification in the uterine cervix. One of the major segmentation …
An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells
In this paper, we present an improved algorithm for the segmentation of cytoplasm and
nuclei from clumps of overlapping cervical cells. This problem is notoriously difficult because …
nuclei from clumps of overlapping cervical cells. This problem is notoriously difficult because …
Evaluation of three algorithms for the segmentation of overlapping cervical cells
In this paper, we introduce and evaluate the systems submitted to the first Overlapping
Cervical Cytology Image Segmentation Challenge, held in conjunction with the IEEE …
Cervical Cytology Image Segmentation Challenge, held in conjunction with the IEEE …
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 …
[PDF][PDF] Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
Cervical cancer remains a significant cause of mortality all around the world, even if it can be
prevented and cured by removing affected tissues in early stages. Providing universal and …
prevented and cured by removing affected tissues in early stages. Providing universal and …
Classification of red cell dynamics with convolutional and recurrent neural networks: a sickle cell disease case study
The fraction of red blood cells adopting a specific motion under low shear flow is a promising
inexpensive marker for monitoring the clinical status of patients with sickle cell disease. Its …
inexpensive marker for monitoring the clinical status of patients with sickle cell disease. Its …
Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF
L Zhao, K Li, M Wang, J Yin, E Zhu, C Wu… - Computers in biology …, 2016 - Elsevier
Accurate and effective cervical smear image segmentation is required for automated cervical
cell analysis systems. Thus, we proposed a novel superpixel-based Markov random field …
cell analysis systems. Thus, we proposed a novel superpixel-based Markov random field …
[HTML][HTML] Deep convolution neural network for malignancy detection and classification in microscopic uterine cervix cell images
Objective: Automated Pap smear cervical screening is one of the most effective imaging
based cancer detection tools used for categorizing cervical cell images as normal and …
based cancer detection tools used for categorizing cervical cell images as normal and …