Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-80260-1
Abstract: Cervical cancer is one of the biggest challenges in global health, thus it forms a critical need for early detection technologies that could improve patient prognosis and inform treatment decisions. This development in the form… read more here.
Keywords: cervical cell; detection; cnn; augmentation ... See more keywords
Detection of cervical cell based on multi-scale spatial information
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DOI: 10.1038/s41598-025-87165-7
Abstract: Cervical cancer poses a significant health risk to women. Deep learning methods can assist pathologists in quickly screening images of suspected lesion cells, greatly improving the efficiency of cervical cancer screening and diagnosis. However, existing… read more here.
Keywords: cervical cell; information; multi scale; scale spatial ... See more keywords
A Deep Neural Network for Cervical Cell Classification Based on Cytology Images
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DOI: 10.1109/access.2022.3230280
Abstract: Cervical cancer is one of the most common cancers among women. Fortunately, cervical cancer is treatable if it is diagnosed timely and administered appropriately. The death rate of cervical cancer has been greatly reduced since… read more here.
Keywords: cervical cancer; cytology images; classification; cervical cell ... See more keywords
Enhancing Cervical Cell Detection Through Weakly Supervised Learning With Local Distillation Mechanism
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DOI: 10.1109/access.2024.3407066
Abstract: Cervical cancer is a malignancy that significantly impacts women’s health. Liquid-based thin-layer cytology examination is presently the predominant method for cervical cancer cell detection. Traditional identification of pathological images of cervical cells mainly relies on… read more here.
Keywords: detection; cervical cell; local distillation; cell detection ... See more keywords
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images
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DOI: 10.1109/tmi.2016.2606380
Abstract: 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 challenges is overlapping of cytoplasm, which has not been… read more here.
Keywords: segmentation; smear images; accurate cervical; pap smear ... See more keywords
Cervical Cell Image Classification-Based Knowledge Distillation
Sign Up to like & getrecommendations! Published in 2022 at "Biomimetics"
DOI: 10.3390/biomimetics7040195
Abstract: Current deep-learning-based cervical cell classification methods suffer from parameter redundancy and poor model generalization performance, which creates challenges for the intelligent classification of cervical cytology smear images. In this paper, we establish a method for… read more here.
Keywords: classification; knowledge; knowledge distillation; cervical cell ... See more keywords
Cervical Cell/Clumps Detection in Cytology Images Using Transfer Learning
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12102477
Abstract: Cervical cancer is one of the most common and deadliest cancers among women and poses a serious health risk. Automated screening and diagnosis of cervical cancer will help improve the accuracy of cervical cell screening.… read more here.
Keywords: cervical cell; transfer learning; detection; model ... See more keywords