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Cervical cancer is a leading malignancy in female reproductive system.
Pap-smear benchmark data for pattern classification
Jan Jantzen, Jonas Norup, Georgios Dounias, and Beth Bjerregaard · 2005
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The cancer genome atlas pan-cancer analysis project
John N Weinstein, Eric A Collisson, Gordon B Mills, Kenna R Shaw, Brad A Ozenberger, Kyle Ellrott, Ilya Shmulevich, Chris Sander, and Joshua M Stuart · 2013
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Openslide: A vendor-neutral software foundation for digital pathology
Adam Goode, Benjamin Gilbert, Jan Harkes, Drazen Jukic, and Mahadev Satyanarayanan · 2013
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The Bethesda system for reporting cervical cytology: definitions, criteria, and explanatory notes
Ritu Nayar and David C Wilbur · 2015
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An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells
Zhi Lu, Gustavo Carneiro, and Andrew P Bradley · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Cytology assessment can predict survival for patients with metastatic pancreatic neuroendocrine neoplasms
Carlie S Sigel, Huimin Guo, Keith M Sigel, Ming Zhang, Natasha Rekhtman, Oscar Lin, David S Klimstra, Achim A Jungbluth, and Laura K Tang · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Sipakmed: A new dataset for feature and image based classification of normal and pathological cervical cells in pap smear images
Marina E Plissiti, Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou, O Krikoni, and Antonia Charchanti · 2018
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Hady Ahmady Phoulady and Peter R Mouton · 2018
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Attention-based deep multiple instance learning
Maximilian Ilse, Jakub Tomczak, and Max Welling · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Cervical cancer
Paul A Cohen, Anjua Jhingran, Ana Oaknin, and Lynette Denny · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Global strategy to accelerate the elimination of cervical cancer as a public health problem
World Health Organization et al · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Discrepancy between cytology and histology in cervical cancer screening: a multicenter retrospective study (kgog 1040)
Yung-Taek Ouh, Ji Jeong Park, Minjoo Kang, Miseon Kim, Jae Yun Song, So Jin Shin, Seung-Hyuk Shim, Heon Jong Yoo, Maria Lee, Sung-Jong Lee, et al · 2021
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Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis
Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, and Pheng-Ann Heng · 2021
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Robust whole slide image analysis for cervical cancer screening using deep learning
Shenghua Cheng, Sibo Liu, Jingya Yu, Gong Rao, Yuwei Xiao, Wei Han, Wenjie Zhu, Xiaohua Lv, Ning Li, Jing Cai, et al · 2021
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Hybrid ai-assistive diagnostic model permits rapid tbs classification of cervical liquid-based thin-layer cell smears
Xiaohui Zhu, Xiaoming Li, Kokhaur Ong, Wenli Zhang, Wencai Li, Longjie Li, David Young, Yongjian Su, Bin Shang, Linggan Peng, et al · 2021
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An empirical study of training self-supervised vision transformers
Xinlei Chen, Saining Xie, and Kaiming He · 2021
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Ziquan Wei, Shenghua Cheng, Junbo Hu, Li Chen, Shaoqun Zeng, and Xiuli Liu · 2021
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Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning
A visual–language foundation model for pathology image analysis using medical twitter
Zhi Huang, Federico Bianchi, Mert Yuksekgonul, Thomas J Montine, and James Zou · 2023
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Cancer statistics, 2024
Rebecca L Siegel, Angela N Giaquinto, and Ahmedin Jemal · 2024
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Cervical cancer kills 300,000 people a year—here’s how to speed up its elimination
Lynette Denny, Ishu Kataria, Lisa Huang, and Kathleen M Schmeler · 2024
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Gains: Gradient anomaly-aware biomedical instance segmentation
Runsheng Liu, Hao Jiang, Yanning Zhou, Huangjing Lin, Liansheng Wang, and Hao Chen · 2024
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Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning
Fei Tian, Dong Liu, Na Wei, Qianqian Fu, Lin Sun, Wei Liu, Xiaolong Sui, Kathryn Tian, Genevieve Nemeth, Jingyu Feng, et al · 2024
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Bin Li, Yin Li, and Kevin W Eliceiri · 2021
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Transmil: Transformer based correlated multiple instance learning for whole slide image classification
Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, et al · 2021
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Data-efficient and weakly supervised computational pathology on whole-slide images
Ming Y Lu, Drew FK Williamson, Tiffany Y Chen, Richard J Chen, Matteo Barbieri, and Faisal Mahmood · 2021
Cited alongside, same era.
Gastric cancer with positive peritoneal cytology: survival benefit after induction chemotherapy and conversion to negative peritoneal cytology
Massimiliano Valletti, Dilmurodjon Eshmuminov, Nicola Gnecco, Christian Alexander Gutschow, Paul Magnus Schneider, and Kuno Lehmann · 2021
Cited alongside, same era.
Towards launching ai algorithms for cellular pathology into clinical & pharmaceutical orbits
Amina Asif, Kashif Rajpoot, David Snead, Fayyaz Minhas, and Nasir Rajpoot · 2021
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The cytologic diagnosis of “atypical”: criteria and controversies
Christopher J VandenBussche and Zubair W Baloch · 2022
Cited alongside, same era.
Transformer-based unsupervised contrastive learning for histopathological image classification
Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, and Xiao Han · 2022
Cited alongside, same era.
Dataset shift in machine learning
Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D Lawrence · 2022
Cited alongside, same era.
Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer
Jue Wang, Yunfang Yu, Yujie Tan, Huan Wan, Nafen Zheng, Zifan He, Luhui Mao, Wei Ren, Kai Chen, Zhen Lin, et al · 2024
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Towards a general-purpose foundation model for computational pathology
Richard J Chen, Tong Ding, Ming Y Lu, Drew FK Williamson, Guillaume Jaume, Andrew H Song, Bowen Chen, Andrew Zhang, Daniel Shao, Muhammad Shaban, et al · 2024
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Towards a generalizable pathology foundation model via unified knowledge distillation
Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin Xinrui Jiang, Anjia Han, et al · 2024
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Holistic and historical instance comparison for cervical cell detection
Hao Jiang, Runsheng Liu, Yanning Zhou, Huangjing Lin, and Hao Chen · 2024
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Predicting tumour origin with cytology-based deep learning: hype or hope?
Elie Rassy and Nicholas Pavlidis · 2024
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A new paradigm for cytology-based artificial intelligence-assisted prediction for cancers of unknown primary origins
Hongrui Li, Shun Wang, Yi Zhang, and Wenbin Li · 2024
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Development and validation of an artificial intelligence-based model for detecting urothelial carcinoma using urine cytology images: a multicentre, diagnostic study with prospective validation
Shaoxu Wu, Runnan Shen, Guibin Hong, Yun Luo, Huan Wan, Jiahao Feng, Zeshi Chen, Fan Jiang, Yun Wang, Chengxiao Liao, et al · 2024
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A foundation model for clinical-grade computational pathology and rare cancers detection
Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, et al · 2024
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A visual-language foundation model for computational pathology
Ming Y Lu, Bowen Chen, Drew FK Williamson, Richard J Chen, Ivy Liang, Tong Ding, Guillaume Jaume, Igor Odintsov, Long Phi Le, Georg Gerber, et al · 2024
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Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in china
Jue Wang, Nafen Zheng, Huan Wan, Qinyue Yao, Shijun Jia, Xin Zhang, Sha Fu, Jingliang Ruan, Gui He, Xulin Chen, et al · 2024
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Current role of cytopathology in the molecular and computational era: The perspective of young pathologists
Alessandro Caputo, Pasquale Pisapia, and Vincenzo L’Imperio · 2024
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Molecular-derived risk of malignancy and the related positive call rate of indeterminate thyroid cytology diagnoses as quality metrics for individual cytopathologists
N Paul Ohori, Jacqueline M Cuda, Sheldon I Bastacky, Linwah Yip, Esra Karslioglu-French, Elena M Morariu, Jagdeesh Ullal, Kimberly M Ramonell, Sally E Carty, Yuri E Nikiforov, et al · 2024
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Less: Label-efficient multi-scale learning for cytological whole slide image screening
Beidi Zhao, Wenlong Deng, Zi Han Henry Li, Chen Zhou, Zuhua Gao, Gang Wang, and Xiaoxiao Li · 2024
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Hmil: Hierarchical multi-instance learning for fine-grained whole slide image classification
Cheng Jin, Luyang Luo, Huangjing Lin, Jun Hou, and Hao Chen · 2024
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