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Breast cancer is one of the most common and prevalent type of cancer that mainly affects the women population. chances of effective treatment increases with early diagnosis. Mammography is considered one of the effective and proven…

Computer Vision and Pattern Recognition · Computer Science 2021-09-30 Bilal Ahmed Lodhi

The CALMA (Computer Assisted Library for MAmmography) project is a five years plan developed in a physics research frame in collaboration between INFN (Istituto Nazionale di Fisica Nucleare) and many Italian hospitals. At present a large…

Medical Physics · Physics 2009-11-10 A. Lauria , R. Palmiero , G. Forni , P. Cerello , B. Golosio , F. Fauci , R. Magro , G. Raso , S. Tangaro , P. L. Indovina

In mammography, the efficacy of computer-aided detection methods depends, in part, on the robust localisation of micro-calcifications ($\mu$C). Currently, the most effective methods are based on three steps: 1) detection of individual…

Computer Vision and Pattern Recognition · Computer Science 2016-10-10 Zhi Lu , Gustavo Carneiro , Neeraj Dhungel , Andrew P. Bradley

Accurate and timely identification of pulmonary nodules on chest X-rays can differentiate between life-saving early treatment and avoidable invasive procedures. Calcification is a definitive indicator of benign nodules and is the primary…

Image and Video Processing · Electrical Eng. & Systems 2025-08-19 Hyeonjin Choi , Yang-gon Kim , Dong-yeon Yoo , Ju-sung Sun , Jung-won Lee

Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Ke Wang , Zanting Ye , Xiang Xie , Haidong Cui , Tao Chen , Banteng Liu

The rapid development of deep learning, a family of machine learning techniques, has spurred much interest in its application to medical imaging problems. Here, we develop a deep learning algorithm that can accurately detect breast cancer…

Computer Vision and Pattern Recognition · Computer Science 2019-10-08 Li Shen , Laurie R. Margolies , Joseph H. Rothstein , Eugene Fluder , Russell B. McBride , Weiva Sieh

Digital Breast Tomosynthesis is an X-ray imaging technique that allows a volumetric reconstruction of the breast, from a small number of low-dose two-dimensional projections. Although it is already used in clinical setting, enhancing the…

Numerical Analysis · Mathematics 2020-07-21 Elena Morotti , Elena Loli Piccolomini

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 a significant global health issue, and the diagnosis of breast cancer through imaging remains challenging. Mammography images are characterized by extremely high resolution, while lesions often occupy only a small portion…

Tissues and Organs · Quantitative Biology 2025-07-28 Shilong Yang , Chulong Zhang , Xiaokun Liang , Qi Zang , Juan Yu , Liang Zeng , Xiao Luo , Yexuan Xing , Xin Pan , Qi Li , Linlin Shen , Yaoqin Xie

Breast cancer is the most common cancer and is the leading cause of cancer death among women worldwide. Detection of breast cancer, while it is still small and confined to the breast, provides the best chance of effective treatment.…

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

Mass classification of objects is an important area of research and application in a variety of fields. In this paper, we present an efficient computer aided mass classification method in digitized mammograms using Fuzzy K-Nearest Neighbor…

Computer Vision and Pattern Recognition · Computer Science 2014-06-19 I. Laurence Aroquiaraj , K. Thangavel

Mammography is the primary imaging modality used for early detection and diagnosis of breast cancer. X-ray mammogram analysis mainly refers to the localization of suspicious regions of interest followed by segmentation, towards further…

Image and Video Processing · Electrical Eng. & Systems 2020-12-09 Yutong Yan , Pierre-Henri Conze , Gwenolé Quellec , Mathieu Lamard , Béatrice Cochener , Gouenou Coatrieux

Breast cancer is a significant global health issue, and the diagnosis of breast imaging has always been challenging. Mammography images typically have extremely high resolution, with lesions occupying only a very small area. Down-sampling…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Shilong Yang , Chulong Zhang , Qi Zang , Juan Yu , Liang Zeng , Xiao Luo , Yexuan Xing , Xin Pan , Qi Li , Xiaokun Liang , Yaoqin Xie

Photoacoustic imaging has proven to be able to detect vascularization-driven optical absorption contrast associated with tumors. In order to detect breast tumors located a few centimeter deep in tissue, a sensitive ultrasound detector is of…

Accurate characterization of microcalcifications (MCs) in 2D full-field digital screening mammography is a necessary step towards reducing diagnostic uncertainty associated with the callback of women with suspicious MCs. Quantitative…

Image and Video Processing · Electrical Eng. & Systems 2021-02-02 Chrysostomos Marasinou , Bo Li , Jeremy Paige , Akinyinka Omigbodun , Noor Nakhaei , Anne Hoyt , William Hsu

A precise assessment of the risk of breast lesions can greatly lower it and assist physicians in choosing the best course of action. To categorise breast lesions, the majority of current computer-aided systems only use characteristics from…

Image and Video Processing · Electrical Eng. & Systems 2025-08-25 Muhaisin Tiyumba Nantogmah , Abdul-Barik Alhassan , Salamudeen Alhassan

Screening mammograms are a routine imaging exam performed to detect breast cancer in its early stages to reduce morbidity and mortality attributed to this disease. In order to maximize the efficacy of breast cancer screening programs,…

Image and Video Processing · Electrical Eng. & Systems 2020-09-30 Vikash Gupta , Clayton Taylor , Sarah Bonnet , Luciano M. Prevedello , Jeffrey Hawley , Richard D White , Mona G Flores , Barbaros Selnur Erdal

Mammography is a vital screening technique for early revealing and identification of breast cancer in order to assist to decrease mortality rate. Practical applications of mammograms are not limited to breast cancer revealing,…

Image and Video Processing · Electrical Eng. & Systems 2020-10-08 Aparna Bhale , Manish Joshi

Early tumor detection is key in reducing the number of breast cancer death and screening mammography is one of the most widely available and reliable method for early detection. However, it is difficult for the radiologist to process with…

Computer Vision and Pattern Recognition · Computer Science 2013-08-13 José M. Celaya-Padilla , Juan Rodriguez-Rojas , Victor Trevino , José G. Gerardo Tamez-Pena