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Cervical cancer is the seventh most common cancer among all the cancers worldwide and the fourth most common cancer among women. Cervical cytopathology image classification is an important method to diagnose cervical cancer. Manual…

Computer Vision and Pattern Recognition · Computer Science 2022-06-03 Wanli Liu , Chen Li , Ning Xu , Tao Jiang , Md Mamunur Rahaman , Hongzan Sun , Xiangchen Wu , Weiming Hu , Haoyuan Chen , Changhao Sun , Yudong Yao , Marcin Grzegorzek

Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smear test is a widely performed screening technique for early…

Image and Video Processing · Electrical Eng. & Systems 2021-08-31 Md Mamunur Rahaman , Chen Li , Yudong Yao , Frank Kulwa , Xiangchen Wu , Xiaoyan Li , Qian Wang

Cervical cancer is a crucial global health concern for women, and the persistent infection of High-risk HPV mainly triggers this remains a global health challenge, with young women diagnosis rates soaring from 10\% to 40\% over three…

Image and Video Processing · Electrical Eng. & Systems 2024-08-21 Tatsuhiro Baba , Abu Saleh Musa Miah , Jungpil Shin , Md. Al Mehedi Hasan

Cervical cancer remains a significant global health concern and a leading cause of cancer-related deaths among women. Early detection through Pap smear tests is essential to reduce mortality rates; however, the manual examination is time…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Nisreen Albzour , Sarah S. Lam

Breast cancer is the second most common cancer among women worldwide. Diagnosis of breast cancer by the pathologists is a time-consuming procedure and subjective. Computer aided diagnosis frameworks are utilized to relieve pathologist…

Computer Vision and Pattern Recognition · Computer Science 2023-08-15 Bahareh Morovati , Reza Lashgari , Mojtaba Hajihasani , Hasti Shabani

Fine-grained classification of cervical cells into different abnormality levels is of great clinical importance but remains very challenging. Contrary to traditional classification methods that rely on hand-crafted or engineered features,…

Computer Vision and Pattern Recognition · Computer Science 2018-10-16 Haoming Lin , Yuyang Hu , Siping Chen , Jianhua Yao , Ling Zhang

Cervical cancer is the leading gynecological malignancy worldwide. This paper presents diverse classification techniques and shows the advantage of feature selection approaches to the best predicting of cervical cancer disease. There are…

Computers and Society · Computer Science 2019-08-22 Avishek Choudhury , Y. M. S Al Wesabi , Daehan Won

Cervical cancer is a prevalent disease affecting millions of women worldwide every year. It requires significant attention, as early detection during the precancerous stage provides an opportunity for a cure. The screening and diagnosis of…

Image and Video Processing · Electrical Eng. & Systems 2023-10-26 Hana Ahmadzadeh Sarhangi , Dorsa Beigifard , Elahe Farmani , Hamidreza Bolhasani

Cervical cancer, the fourth leading cause of cancer in women globally, requires early detection through Pap smear tests to identify precancerous changes and prevent disease progression. In this study, we performed a focused analysis by…

Image and Video Processing · Electrical Eng. & Systems 2025-05-22 Abdul Samad Shaik , Shashaank Mattur Aswatha , Rahul Jashvantbhai Pandya

Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis often relies on the pathology of cells in the lesion. The pathological diagnosis of breast cancer not only requires professionals and time, but also…

Image and Video Processing · Electrical Eng. & Systems 2024-04-15 MingXuan Xiao , Yufeng Li , Xu Yan , Min Gao , Weimin Wang

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 "abnormal" and "normal" categories. However, the success of…

Computer Vision and Pattern Recognition · Computer Science 2018-01-29 Ling Zhang , Le Lu , Isabella Nogues , Ronald M. Summers , Shaoxiong Liu , Jianhua Yao

Cervical cancer is the second most prevalent cancer affecting women today. As the early detection of cervical carcinoma relies heavily upon screening and pre-clinical testing, digital cervicography has great potential as a primary or…

Computer Vision and Pattern Recognition · Computer Science 2020-04-02 Yanglan Ou , Yuan Xue , Ye Yuan , Tao Xu , Vincent Pisztora , Jia Li , Xiaolei Huang

Cervical cancer remains a significant health challenge, with high incidence and mortality rates, particularly in transitioning countries. Conventional Liquid-Based Cytology(LBC) is a labor-intensive process, requires expert pathologists and…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Love Panta , Suraj Prasai , Karishma Malla Vaidya , Shyam Shrestha , Suresh Manandhar

Automated detection of cervical cancer cells or cell clumps has the potential to significantly reduce error rate and increase productivity in cervical cancer screening. However, most traditional methods rely on the success of accurate cell…

Computer Vision and Pattern Recognition · Computer Science 2019-12-24 Yixiong Liang , Zhihong Tang , Meng Yan , Jialin Chen , Qing Liu , Yao Xiang

Cervical cancer is one of the most severe diseases threatening women's health. Early detection and diagnosis can significantly reduce cancer risk, in which cervical cytology classification is indispensable. Researchers have recently…

Computer Vision and Pattern Recognition · Computer Science 2023-08-09 Linyi Qian , Qian Huang , Yulin Chen , Junzhou Chen

Automation of feature analysis in the dynamic image frame dataset deals with complexity of intensity mapping with normal and abnormal class. The threshold-based data clustering and feature analysis requires iterative model to learn the…

Computer Vision and Pattern Recognition · Computer Science 2023-01-20 Aatif Jamshed , Bhawna Mallick , Rajendra Kumar Bharti

This article adresses the problem of automatic squamous cells classification for cervical cancer screening using Deep Learning methods. We study different architectures on a public dataset called Herlev dataset, which consists in…

Image and Video Processing · Electrical Eng. & Systems 2019-08-20 Antoine Pirovano , Leandro G. Almeida , Said Ladjal

Ovarian cancer is the most lethal cancer of the female reproductive organs. There are $5$ major histological subtypes of epithelial ovarian cancer, each with distinct morphological, genetic, and clinical features. Currently, these…

The cervix is the narrow end of the uterus that connects to the vagina in the female reproductive system. Abnormal cell growth in the squamous epithelial lining of the cervix leads to cervical cancer in females. A Pap smear is a diagnostic…

Image and Video Processing · Electrical Eng. & Systems 2024-11-21 Subhasish Das , Satish K Panda , Madhusmita Sethy , Prajna Paramita Giri , Ashwini K Nanda

Histology imaging is an essential diagnosis method to finalize the grade and stage of cancer of different tissues, especially for breast cancer diagnosis. Specialists often disagree on the final diagnosis on biopsy tissue due to the complex…

Computer Vision and Pattern Recognition · Computer Science 2019-09-17 Yongxiang Huang , Albert Chi-shing Chung
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