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The improved diagnostic accuracy of ultrasound breast examinations remains an important goal. In this study, we propose a biophysical feature based machine learning method for breast cancer detection to improve the performance beyond a…

Image and Video Processing · Electrical Eng. & Systems 2022-07-15 Jihye Baek , Avice M. O'Connell , Kevin J. Parker

Breast cancer is a heterogeneous disease with different molecular subtypes, clinical behavior, treatment responses as well as survival outcomes. The development of a reliable, accurate, available and inexpensive method to predict the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Mohaddeseh Chegini , Ali Mahloojifar

Accurate segmentation of breast tumors in magnetic resonance images (MRI) is essential for breast cancer diagnosis, yet existing methods face challenges in capturing irregular tumor shapes and effectively integrating local and global…

Image and Video Processing · Electrical Eng. & Systems 2025-09-22 Yue Zhang , Jiahua Dong , Chengtao Peng , Qiuli Wang , Dan Song , Guiduo Duan

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 one of the leading fatal disease worldwide with high risk control if early discovered. Conventional method for breast screening is x-ray mammography, which is known to be challenging for early detection of cancer lesions.…

Computer Vision and Pattern Recognition · Computer Science 2020-03-11 Essam A. Rashed , M. Samir Abou El Seoud

Breast cancer is still the second top cause of cancer deaths worldwide and this emphasizes the importance of necessary steps for early detection. Traditional diagnostic methods, such as mammography, ultrasound, and thermography, which have…

The ability to accurately estimate risk of developing breast cancer would be invaluable for clinical decision-making. One promising new approach is to integrate image-based risk models based on deep neural networks. However, one must take…

Image and Video Processing · Electrical Eng. & Systems 2020-09-17 Yue Liu , Hossein Azizpour , Fredrik Strand , Kevin Smith

Breast cancer is in the most common malignant tumor in women. It accounted for 30% of new malignant tumor cases. Although the incidence of breast cancer remains high around the world, the mortality rate has been continuously reduced. This…

Image and Video Processing · Electrical Eng. & Systems 2022-02-01 Liuhua Zhang

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 ranks as the most prevalent form of cancer diagnosed in women, and diagnosis faces several challenges, a change in the size, shape and appearance of breasts, dense breast tissue, lumps or thickening in the breast especially if…

Image and Video Processing · Electrical Eng. & Systems 2023-12-12 Abdulqader Mohammed , Mohammed Abdel Razek , Mohamed El-dosuky , Ahmed Sobhi

Breast cancer (BC) remains a significant health threat, with no long-term cure currently available. Early detection is crucial, yet mammography interpretation is hindered by high false positives and negatives. With BC incidence projected to…

Computer Vision and Pattern Recognition · Computer Science 2023-06-22 Jai Vardhan , Taraka Satya Krishna Teja Malisetti

Early detection of breast cancer through screening mammography yields a 20-35% increase in survival rate; however, there are not enough radiologists to serve the growing population of women seeking screening mammography. Although commercial…

Computer Vision and Pattern Recognition · Computer Science 2020-01-24 Stefano Pedemonte , Brent Mombourquette , Alexis Goh , Trevor Tsue , Aaron Long , Sadanand Singh , Thomas Paul Matthews , Meet Shah , Jason Su

Breast cancer is one of the most threatening diseases in women's life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient's life. Mammography stands as the reference technique for breast…

Machine Learning · Computer Science 2023-05-05 Juan Zuluaga-Gomez

Breast cancer is one of the common cancers that endanger the health of women globally. Accurate target lesion segmentation is essential for early clinical intervention and postoperative follow-up. Recently, many convolutional neural…

Image and Video Processing · Electrical Eng. & Systems 2024-01-23 Gongping Chen , Lu Zhou , Jianxun Zhang , Xiaotao Yin , Liang Cui , Yu Dai

Breast cancer is one of the leading causes of death among women across the globe. It is difficult to treat if detected at advanced stages, however, early detection can significantly increase chances of survival and improves lives of…

Image and Video Processing · Electrical Eng. & Systems 2023-08-17 Unaiza Sajid , Rizwan Ahmed Khan , Shahid Munir Shah , Sheeraz Arif

Risk-adapted breast cancer screening requires robust models that leverage longitudinal imaging data. Most current deep learning models use single or limited prior mammograms and lack adaptation for real-world settings marked by imbalanced…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Manel Rakez , Thomas Louis , Julien Guillaumin , Foucauld Chamming's , Pierre Fillard , Brice Amadeo , Virginie Rondeau

Breast cancer is one of the leading causes of cancer deaths in women. As the primary output of breast screening, breast ultrasound (US) video contains exclusive dynamic information for cancer diagnosis. However, training models for video…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Zehui Lin , Ruobing Huang , Dong Ni , Jiayi Wu , Baoming Luo

Accurate diagnosis of breast cancer in histopathology images is challenging due to the heterogeneity of cancer cell growth as well as of a variety of benign breast tissue proliferative lesions. In this paper, we propose a practical and…

Computer Vision and Pattern Recognition · Computer Science 2020-05-06 Xingyu Li , Marko Radulovic , Ksenija Kanjer , Konstantinos N. Plataniotis

Breast cancer remains the most commonly diagnosed malignancy among women in the developed world. Early detection through mammography screening plays a pivotal role in reducing mortality rates. While computer-aided diagnosis (CAD) systems…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Shunjie-Fabian Zheng , Hyeonjun Lee , Thijs Kooi , Ali Diba

Breast cancer is the most common cancer type in women worldwide. Early detection and appropriate treatment can significantly reduce its impact. While histopathology examinations play a vital role in rapid and accurate diagnosis, they often…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Nematollah Saeidi , Hossein Karshenas , Bijan Shoushtarian , Sepideh Hatamikia , Ramona Woitek , Amirreza Mahbod
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