Robust cervical abnormal cell detection via distillation from local-scale consistency refinement

M Fei, X Zhang, M Cao, Z Shen, X Zhao, Z Song… - … Conference on Medical …, 2023 - Springer
Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is
essential for efficient cervical abnormal screening by computer-aided diagnosis system …

Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment

M Fei, Z Shen, Z Song, X Wang, M Cao, L Yao, X Zhao… - Neural Networks, 2024 - Elsevier
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 …

SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection

Z Zhang, P Yao, M Chen, L Zeng… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Cervical abnormal cell detection plays a crucial role in the early screening of cervical
cancer. In recent years, some deep learning-based methods have been proposed. However …

[HTML][HTML] Detection of Cervical Lesion Cell/Clumps Based on Adaptive Feature Extraction

G Li, X Li, Y Wang, S Gong, Y Yang, C Xu - Bioengineering, 2024 - mdpi.com
Automated detection of cervical lesion cell/clumps in cervical cytological images is essential
for computer-aided diagnosis. In this task, the shape and size of the lesion cell/clumps …

A survey on 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… - 2023 - researchsquare.com
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 …

Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction: A Novel Method

Q Pan, B Yang, D Chen… - Asian Conference on …, 2024 - proceedings.mlr.press
Cervical cancer is the most common gynecologic malignancy, and in clinical practice,
cervical cancer is best treated if it is detected at an early stage. Thinprep Cytologic Test …

An efficient framework based on large foundation model for cervical cytopathology whole slide image screening

J Huang, G Li, S Kan, J Liu, Y Liang - arXiv preprint arXiv:2407.11486, 2024 - arxiv.org
Current cervical cytopathology whole slide image (WSI) screening primarily relies on
detection-based approaches, which are limited in performance due to the expense and time …

RC R-CNN for Bone Marrow Cell Recognition

H Yuan, J Luo, S Dong - 2023 IEEE 35th International …, 2023 - ieeexplore.ieee.org
The morphological examination of bone marrow (BM) cells is an essential basis for the
diagnosis and assessment of hematologic diseases. However, manual recognition of cell …

[HTML][HTML] Trans-YOLOv5: a YOLOv5-based prior transformer network model for automated detection of abnormal cells or clumps in cervical cytology images

HU Wenran, FU Rong - Journal of Southern Medical University, 2024 - ncbi.nlm.nih.gov
The development of various models for automated images screening has significantly
enhanced the efficiency and accuracy of cervical cytology image analysis. Single-stage …

[PDF][PDF] A Systematic Literature Review on Vision Transformers applications in Histopathology and Cytopathology: Advances in Cellular Analysis

LO Santos, A von Wangenheim, FSM Barroso… - researchgate.net
Cytopathology is a specialized branch of cytology that focuses on the study of diseases at
the cellular level. The Examination involves assessing cells' morphology, color and texture …