Soft computing approaches for image segmentation: a survey
Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …
homogenous in some manner. The homogeneity dependents on some attributes like …
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 …
[Retracted] Ant Colony Optimization‐Enabled CNN Deep Learning Technique for Accurate Detection of Cervical Cancer
R Kavitha, DK Jothi, K Saravanan… - BioMed Research …, 2023 - Wiley Online Library
Cancer is characterized by abnormal cell growth and proliferation, which are both diagnostic
indicators of the disease. When cancerous cells enter one organ, there is a risk that they …
indicators of the disease. When cancerous cells enter one organ, there is a risk that they …
Image segmentation using computational intelligence techniques
Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …
processing phase to excerpt more meaningful and useful information for analysing the …
Multi-pass fast watershed for accurate segmentation of overlapping cervical cells
The task of segmenting cell nuclei and cytoplasm in pap smear images is one of the most
challenging tasks in automated cervix cytological analysis due to specifically the presence of …
challenging tasks in automated cervix cytological analysis due to specifically the presence of …
Computational nuclei segmentation methods in digital pathology: a survey
T Hayakawa, VBS Prasath, H Kawanaka… - … Methods in Engineering, 2021 - Springer
Pathology is an important field in modern medicine. In particular, the step of nuclei
segmentation is an important step in cancer analysis, diagnosis, and grading because …
segmentation is an important step in cancer analysis, diagnosis, and grading because …
Deep features selection through genetic algorithm for cervical pre-cancerous cell classification
R Kundu, S Chattopadhyay - Multimedia Tools and Applications, 2023 - Springer
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 …
Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm
J Huang, T Wang, D Zheng, Y He - Bioengineered, 2020 - Taylor & Francis
In the screening of cervical cancer cells, accurate identification and segmentation of nucleus
in cell images is a key part in the early diagnosis of cervical cancer. Overlapping, uneven …
in cell images is a key part in the early diagnosis of cervical cancer. Overlapping, uneven …
Automated segmentation of cell nuclei in cytology pleural fluid images using OTSU thresholding
KY Win, S Choomchuay - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
The automated segmentation of cell nuclei is critical for diagnosis and classification of
cancers in pleural fluid. This task is very essential since the morphology of cell nuclei such …
cancers in pleural fluid. This task is very essential since the morphology of cell nuclei such …
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review
AV Matias, JGA Amorim, LAB Macarini… - … Medical Imaging and …, 2021 - Elsevier
Cytology is a low-cost and non-invasive diagnostic procedure employed to support the
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …