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Cervical cancer is a major cause of cancer-related mortality among women worldwide, and its survival rate improves significantly with early detection. Traditional diagnostic methods such as Pap smears and cervical biopsies rely heavily on…

Image and Video Processing · Electrical Eng. & Systems 2024-11-19 Rashik Shahriar Akash , Radiful Islam , S. M. Saiful Islam Badhon , K. S. M. Tozammel Hossain

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

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

The Pap smear is a screening method for early cervical cancer diagnosis. The selection of the right optimizer in the convolutional neural network (CNN) model is key to the success of the CNN in image classification, including the…

Image and Video Processing · Electrical Eng. & Systems 2024-10-24 Ach. Khozaimi , Wayan Firdaus Mahmudy

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

This paper proposes an efficient system for classifying cervical cancer cells using pre-trained convolutional neural networks (CNNs). We first fine-tune five pre-trained CNNs and minimize the overall cost of misclassification by…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Ashfiqun Mustari , Rushmia Ahmed , Afsara Tasnim , Jakia Sultana Juthi , G M Shahariar

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

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, 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

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

Prostate cancer is one of the most common causes of cancer deaths in men. There is a growing demand for noninvasively and accurately diagnostic methods that facilitate the current standard prostate cancer risk assessment in clinical…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Ping-Chang Lin , Teodora Szasz , Hakizumwami B. Runesha

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

Background: Cervical cancer seriously affects the health of the female reproductive system. Optical coherence tomography (OCT) emerged as a non-invasive, high-resolution imaging technology for cervical disease detection. However, OCT image…

Image and Video Processing · Electrical Eng. & Systems 2022-06-14 Kaiyi Chen , Qingbin Wang , Yutao Ma

There are various algorithms and methodologies used for automated screening of cervical cancer by segmenting and classifying cervical cancer cells into different categories. This study presents a critical review of different research papers…

Machine Learning · Computer Science 2018-11-05 Yasha Singh , Dhruv Srivastava , P. S. Chandranand , Dr. Surinder Singh

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

Cervical cancer remains a significant health problem, especially in developing countries. Early detection is critical for effective treatment. Convolutional neural networks (CNN) have shown promise in automated cervical cancer screening,…

Image and Video Processing · Electrical Eng. & Systems 2025-06-19 Ach Khozaimi , Isnani Darti , Syaiful Anam , Wuryansari Muharini Kusumawinahyu

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

An important part of breast cancer staging is the assessment of the sentinel axillary node for early signs of tumor spreading. However, this assessment by pathologists is not always easy and retrospective surveys often requalify the status…

Quantitative Methods · Quantitative Biology 2024-04-30 Eric Bonnet

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 most deadly and common diseases among women worldwide. It is completely curable if diagnosed in an early stage, but the tedious and costly detection procedure makes it unviable to conduct population-wise…

Computer Vision and Pattern Recognition · Computer Science 2021-10-25 Hritam Basak , Rohit Kundu , Sukanta Chakraborty , Nibaran Das
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