A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
P Jiang, X Li, H Shen, Y Chen, L Wang, H Chen… - Artificial Intelligence …, 2023 - Springer
Cervical cancer is one of the most common cancers in daily life. Early detection and
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …
[HTML][HTML] Graph-based methods for cervical cancer segmentation: Advancements, limitations, and future directions
Cervical cancer remains a significant health concern worldwide, where precise
segmentation of cervical lesions is integral for effective diagnosis and treatment planning …
segmentation of cervical lesions is integral for effective diagnosis and treatment planning …
Recent developments in cervical cancer diagnosis using deep learning on whole slide images: An Overview of models, techniques, challenges and future directions
D Sambyal, A Sarwar - Micron, 2023 - Elsevier
Integration of whole slide imaging (WSI) and deep learning technology has led to significant
improvements in the screening and diagnosis of cervical cancer. WSI enables the …
improvements in the screening and diagnosis of cervical cancer. WSI enables the …
Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
Vulvovaginal candidiasis (VVC) is the most prevalent human candidal infection, estimated to
afflict approximately 75% of all women at least once in their lifetime. It will lead to several …
afflict approximately 75% of all women at least once in their lifetime. It will lead to several …
Patch-to-Sample Reasoning for Cervical Cancer Screening of Whole Slide Image
Deep learning has been instrumental in improving the accuracy of cervical cancer screening
using whole-slide images (WSIs) in recent years. Due to the complexity of the computer …
using whole-slide images (WSIs) in recent years. Due to the complexity of the computer …
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
Fine-grained classification of whole slide images (WSIs) is essential in precision oncology,
enabling precise cancer diagnosis and personalized treatment strategies. The core of this …
enabling precise cancer diagnosis and personalized treatment strategies. The core of this …
Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images
Cervical cancer is a significant health burden worldwide, and computer-aided diagnosis
(CAD) pipelines have the potential to improve diagnosis efficiency and treatment outcomes …
(CAD) pipelines have the potential to improve diagnosis efficiency and treatment outcomes …
Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment
Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is
crucial for efficient cervical abnormal screening using computer-aided diagnosis systems …
crucial for efficient cervical abnormal screening using computer-aided diagnosis systems …
Masked hypergraph learning for weakly supervised histopathology whole slide image classification
Background and objectives: Graph neural network (GNN) has been extensively used in
histopathology whole slide image (WSI) analysis due to the efficiency and flexibility in …
histopathology whole slide image (WSI) analysis due to the efficiency and flexibility in …
Coupling Self-Supervised and Supervised Contrastive Learning for Multiple Classification of Cervical Cytological Whole Slide Images
L Wang, P Jiang, W Duan, D Cao… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Cervical cytologic whole slide image (WSI) multiple classificaton (grading) is a challenging
task. Current studies typically ignore the unbalanced data distribution and require multi …
task. Current studies typically ignore the unbalanced data distribution and require multi …