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 …
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 …
Cx22: A new publicly available dataset for deep learning-based segmentation of cervical cytology images
G Liu, Q Ding, H Luo, M Sha, X Li, M Ju - Computers in Biology and …, 2022 - Elsevier
The segmentation of cervical cytology images plays an important role in the automatic
analysis of cervical cytology screening. Although deep learning-based segmentation …
analysis of cervical cytology screening. Although deep learning-based segmentation …
Deep learning for cell image segmentation and ranking
Ninety years after its invention, the Pap test continues to be the most used method for the
early identification of cervical precancerous lesions. In this test, the cytopathologists look for …
early identification of cervical precancerous lesions. In this test, the cytopathologists look for …
Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling
The task of segmenting nuclei and cytoplasm in Papanicolau smear images is one of the
most challenging tasks in automated cervix cytological analysis owing to the high degree of …
most challenging tasks in automated cervix cytological analysis owing to the high degree of …
LFANet: Lightweight feature attention network for abnormal cell segmentation in cervical cytology images
Y Zhao, C Fu, S Xu, L Cao, H Ma - Computers in Biology and Medicine, 2022 - Elsevier
With the widely applied computer-aided diagnosis techniques in cervical cancer screening,
cell segmentation has become a necessary step to determine the progression of cervical …
cell segmentation has become a necessary step to determine the progression of cervical …
DeepPap: deep convolutional networks for cervical cell classification
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a
highly effective cell imaging based cancer detection tool, where cells are partitioned into …
highly effective cell imaging based cancer detection tool, where cells are partitioned into …
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 …
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 …
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei
Cervical nuclei carry substantial diagnostic information for cervical cancer. Therefore, in
automation-assisted reading of cervical cytology, automated and accurate segmentation of …
automation-assisted reading of cervical cytology, automated and accurate segmentation of …