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Goal: Squamous cell carcinoma of cervix is one of the most prevalent cancer worldwide in females. Traditionally, the most indispensable diagnosis of cervix squamous carcinoma is histopathological assessment which is achieved under…

Computer Vision and Pattern Recognition · Computer Science 2019-05-28 Ye Tian , Li Yang , Wei Wang , Jing Zhang , Qing Tang , Mili Ji , Yang Yu , Yu Li , Hong Yang , Airong Qian

Human papillomavirus (HPV) status is a critical determinant of prognosis and treatment response in head and neck and cervical cancers. Although attention-based multiple instance learning (MIL) achieves strong slide-level prediction for…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Weiyi Qin , Yingci Liu-Swetz , Shiwei Tan , Hao Wang

Cervical intraepithelial neoplasia (CIN) is the development of abnormal cells on the surface of the cervix, caused by a human papillomavirus (HPV) infection. Although in most of the cases it is resolved by the immune system, a small…

Quantitative Methods · Quantitative Biology 2024-03-21 Vasiliki Bitsouni , Nikolaos Gialelis , Ioannis G. Stratis , Vasilis Tsilidis

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

Microscopic images from the biopsy samples of cervical cancer, the current "gold standard" for histopathology analysis, are found to be segregated into differing classes in their correlation properties. Correlation domains clearly indicate…

Medical Physics · Physics 2012-08-15 Jaidip Jagtap , Nishigandha Patil , Chayanika Kala , Kiran Pandey , Asha Agarwa , Asima Pradhan

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

Cervical cancer is one of the deadliest cancers affecting women globally. Cervical intraepithelial neoplasia (CIN) assessment using histopathological examination of cervical biopsy slides is subject to interobserver variability. Automated…

Image and Video Processing · Electrical Eng. & Systems 2020-07-23 Sudhir Sornapudi , R. Joe Stanley , William V. Stoecker , Rodney Long , Zhiyun Xue , Rosemary Zuna , Shelliane R. Frazier , Sameer Antani

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

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

Screening is critical for prevention and early detection of cervical cancer but it is time-consuming and laborious. Supervised deep convolutional neural networks have been developed to automate pap smear screening and the results are…

Computer Vision and Pattern Recognition · Computer Science 2023-11-20 Yu Ando , Nora Jee-Young Park and , Gun Oh Chong , Seokhwan Ko , Donghyeon Lee , Junghwan Cho , Hyungsoo Han

Cervical cancer is one of the most common types of cancer found in females. It contributes to 6-29% of all cancers in women. It is caused by the Human Papilloma Virus (HPV). The 5-year survival chances of cervical cancer range from 17%-92%…

Image and Video Processing · Electrical Eng. & Systems 2022-09-27 Tamanna Sood

Grading precancerous lesions on whole slide images is a challenging task: the continuous space of morphological phenotypes makes clear-cut decisions between different grades often difficult, leading to low inter- and intra-rater agreements.…

Image and Video Processing · Electrical Eng. & Systems 2023-03-09 Mélanie Lubrano , Yaëlle Bellahsen-Harrar , Rutger Fick , Cécile Badoual , Thomas Walter

Cervical cancer will cause 460 000 deaths per year by 2040, approximately 90% are Sub-Saharan African women. A constantly increasing incidence in Africa making cervical cancer a priority by the World Health Organization (WHO) in terms of…

Computer Vision and Pattern Recognition · Computer Science 2020-05-29 Ferdaous Idlahcen , Mohammed Majid Himmi , Abdelhak Mahmoudi

Whole-slide image (WSI) classification in computational pathology is commonly formulated as slide-level Multiple Instance Learning (MIL) with a single global bag representation. However, slide-level MIL is fundamentally underconstrained:…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Syed Fahim Ahmed , Gnanesh Rasineni , Florian Koehler , Abu Zahid Bin Aziz , Mei Wang , Attila Gyulassy , Brian Summa , J. Quincy Brown , Valerio Pascucci , Shireen Y. Elhabian

Histopathological image analysis is an essential process for the discovery of diseases such as cancer. However, it is challenging to train CNN on whole slide images (WSIs) of gigapixel resolution considering the available memory capacity.…

Image and Video Processing · Electrical Eng. & Systems 2019-10-11 Shusuke Takahama , Yusuke Kurose , Yusuke Mukuta , Hiroyuki Abe , Masashi Fukayama , Akihiko Yoshizawa , Masanobu Kitagawa , Tatsuya Harada

Due to its superior efficiency in utilizing annotations and addressing gigapixel-sized images, multiple instance learning (MIL) has shown great promise as a framework for whole slide image (WSI) classification in digital pathology…

Quantitative Methods · Quantitative Biology 2023-07-14 Qiehe Sun , Jiawen Li , Jin Xu , Junru Cheng , Tian Guan , Yonghong He

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

The popular use of histopathology images, such as hematoxylin and eosin (H&E), has proven to be useful in detecting tumors. However, moving such cancer cases forward for treatment requires accurate on the amount of the human epidermal…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Olaide N. Oyelade , Oliver Hoxey , Yulia Humrye

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

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
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