A Deep Learning approach for automated Cytoplasm and Nuclei cervical segmentation
MJ Del Moral-Argumedo, CA Ochoa-Zezzati… - … Signal Processing and …, 2023 - Elsevier
Cervical cancer is a severe disease that affects many women in developing countries.
Increasing screening capabilities is the best tool to reduce cancer incidence and save lives …
Increasing screening capabilities is the best tool to reduce cancer incidence and save lives …
Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques
BZ Wubineh, A Rusiecki, K Halawa - International Conference on …, 2024 - Springer
Cervical cancer is the fourth most common cancer among women. Every year, more than
200,000 women die due to cervical cancer; however, it is a preventable disease if detected …
200,000 women die due to cervical cancer; however, it is a preventable disease if detected …
Segmentation and classification of cervical cells using deep learning
KHS Allehaibi, LE Nugroho, L Lazuardi… - IEEE …, 2019 - ieeexplore.ieee.org
Cervical cancer is the fourth most prevalent disease in women. Accurate and timely cancer
detection can save lives. Automatic and reliable cervical cancer detection methods can be …
detection can save lives. Automatic and reliable cervical cancer detection methods can be …
Automated cervical cell segmentation using deep ensemble learning
J Ji, W Zhang, Y Dong, R Lin, Y Geng, L Hong - BMC Medical Imaging, 2023 - Springer
Background Cervical cell segmentation is a fundamental step in automated cervical cancer
cytology screening. The aim of this study was to develop and evaluate a deep ensemble …
cytology screening. The aim of this study was to develop and evaluate a deep ensemble …
Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks
Accurate cell segmentation is essential for computer-aided diagnosis of cervical
precancerous lesions in cytology images. Automated segmentation poses a great challenge …
precancerous lesions in cytology images. Automated segmentation poses a great challenge …
An improved approach for automated cervical cell segmentation with PointRend
B Zhang, W Wang, W Zhao, X Jiang, LM Patnaik - Scientific Reports, 2024 - nature.com
Regular screening for cervical cancer is one of the best tools to reduce cancer incidence.
Automated cell segmentation in screening is an essential task because it can present better …
Automated cell segmentation in screening is an essential task because it can present better …
Segmentation of overlapping cervical cells with mask region convolutional neural network
J Chen, B Zhang - Computational and Mathematical Methods in …, 2021 - Wiley Online Library
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in
cervix cytological analysis due to the presence of fuzzy and highly overlapping cells. Deep …
cervix cytological analysis due to the presence of fuzzy and highly overlapping cells. Deep …
Segmentation of cervical nuclei using convolutional neural network for conventional cytology
JBA Teixeira, MT Rezende, DN Diniz… - Computer Methods in …, 2023 - Taylor & Francis
Although implementing the Pap smear has drastically reduced the mortality rates from
cervical cancer, false positives and negatives are related to the quality of the analysis and …
cervical cancer, false positives and negatives are related to the quality of the analysis and …
An improved deep convolutional model for segmentation of nucleus and cytoplasm from pap stained cell images
K Sabeena, C Gopakumar… - 2020 6th International …, 2020 - ieeexplore.ieee.org
For the early detection of cervical dysplasia, automated cervical cell analysis system
requires an accurate segmentation of nucleus and cytoplasm from cells. The segmentation …
requires an accurate segmentation of nucleus and cytoplasm from cells. The segmentation …
An improved cervical cell segmentation method based on deep convolutional network
The cervical cytology smear test is an effective method for cervical cancer early screening,
and segmentation accuracy is essential for computer‐aided diagnosis. In this study, an …
and segmentation accuracy is essential for computer‐aided diagnosis. In this study, an …