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Related papers: Classification of Cervical Cancer Dataset

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Cytology screening from Papanicolaou (Pap) smears is a common and effective tool for the preventive clinical management of cervical cancer, where abnormal cell detection from whole slide images serves as the foundation for reporting…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Hao Jiang , Runsheng Liu , Yanning Zhou , Huangjing Lin , Hao Chen

Invasive ductal carcinoma is a prevalent, potentially deadly disease associated with a high rate of morbidity and mortality. Its malignancy is the second leading cause of death from cancer in women. The mammogram is an extremely useful…

Computer Vision and Pattern Recognition · Computer Science 2021-11-09 Rushabh Patel

Various approaches to gene selection for cancer classification based on microarray data can be found in the literature and they may be grouped into two categories: univariate methods and multivariate methods. Univariate methods look at each…

Quantitative Methods · Quantitative Biology 2015-06-18 Min Xu , Rudy Setiono

Analyzing Pap cytology slides is an important tasks in detecting and grading precancerous and cancerous cervical cancer stages. Processing cytology images usually involve segmenting nuclei and overlapping cells. We introduce a cervical…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Hady Ahmady Phoulady , Peter R. Mouton

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

Early detection of dysplasia of the cervix is critical for cervical cancer treatment. However, automatic cervical dysplasia diagnosis via visual inspection, which is more appropriate in low-resource settings, remains a challenging problem.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Yichen Zhang , Yifang Yin , Ying Zhang , Zhenguang Liu , Zheng Wang , Roger Zimmermann

According to the World Health Organization, breast cancer is the main cause of cancer death among adult women in the world. Although breast cancer occurs indiscriminately in countries with several degrees of social and economic development,…

Computer Vision and Pattern Recognition · Computer Science 2017-12-21 Sidney Marlon Lopes de Lima , Abel Guilhermino da Silva Filho , Wellington Pinheiro dos Santos

Breast cancer is one of the most major causes of death among women, after lung cancer. Breast cancer detection advancements can increase the survival rate of patients through earlier detection. Breast cancer that can be detected by using…

Image and Video Processing · Electrical Eng. & Systems 2024-09-26 Kashif Ishaq , Muhammad Mustagis

Breast cancer is among the most deadly diseases, distressing mostly women worldwide. Although traditional methods for detection have presented themselves as valid for the task, they still commonly present low accuracies and demand…

Machine Learning · Computer Science 2021-01-15 Leandro Aparecido Passos , Danilo Samuel Jodas , Luiz C. F. Ribeiro , Thierry Pinheiro , João P. Papa

Breast cancer histopathology image classification is critical for early detection and improved patient outcomes. 1 This study introduces a novel approach leveraging EfficientNetV2 models, to improve feature extraction and focus on relevant…

Image and Video Processing · Electrical Eng. & Systems 2025-05-14 Naren Sengodan

Background: Breast cancer has the highest prevalence in women globally. The classification and diagnosis of breast cancer and its histopathological images have always been a hot spot of clinical concern. In Computer-Aided Diagnosis (CAD),…

Computer Vision and Pattern Recognition · Computer Science 2022-05-11 Yuchao Zheng , Chen Li , Xiaomin Zhou , Haoyuan Chen , Hao Xu , Yixin Li , Haiqing Zhang , Xiaoyan Li , Hongzan Sun , Xinyu Huang , Marcin Grzegorzek

Objective: We develop a computer-aided diagnosis (CAD) system using deep learning approaches for lesion detection and classification on whole-slide images (WSIs) with breast cancer. The deep features being distinguishing in classification…

Image and Video Processing · Electrical Eng. & Systems 2021-08-29 Wei-Wen Hsu , Yongfang Wu , Chang Hao , Yu-Ling Hou , Xiang Gao , Yun Shao , Xueli Zhang , Tao He , Yanhong Tai

High accuracy in cancer prediction is important to improve the quality of the treatment and to improve the rate of survivability of patients. As the data volume is increasing rapidly in the healthcare research, the analytical challenge…

Machine Learning · Computer Science 2014-03-13 J S Saleema , N Bhagawathi , S Monica , P Deepa Shenoy , K R Venugopal , L M Patnaik

Colorectal cancer (CRC) is the third most diagnosed cancer and the second leading cause of cancer-related death worldwide. Accurate histopathological grading of CRC is essential for prognosis and treatment planning but remains a subjective…

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

Breast cancer is the second leading cause of cancer-related death after lung cancer in women. Early detection of breast cancer in X-ray mammography is believed to have effectively reduced the mortality rate. However, a relatively high false…

Image and Video Processing · Electrical Eng. & Systems 2021-02-16 Xuejiao Tang , Liuhua Zhang , Wenbin Zhang , Xin Huang , Vasileios Iosifidis , Zhen Liu , Mingli Zhang , Enza Messina , Ji Zhang

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

Breast cancer is the most frequently reported cancer type among the women around the globe and beyond that it has the second highest female fatality rate among all cancer types. Despite all the progresses made in prevention and early…

Machine Learning · Computer Science 2018-11-08 Hadi Mansourifar , Weidong Shi

Skin cancer is one of the most common and deadliest types of cancer. Early diagnosis of skin cancer at a benign stage is critical to reducing cancer mortality. To detect skin cancer at an earlier stage an automated system is compulsory that…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Md Sirajul Islam , Sanjeev Panta

Automated detection and classification of cervical cells in conventional Pap smear images can strengthen cervical cancer screening at scale by reducing manual workload, improving triage, and increasing consistency across readers. However,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Lautaro Kogan , María Victoria Ríos