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Related papers: Screening Mammography Breast Cancer Detection

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Breast cancer has become a symbol of tremendous concern in the modern world, as it is one of the major causes of cancer mortality worldwide. In this regard, breast ultrasonography images are frequently utilized by doctors to diagnose breast…

Image and Video Processing · Electrical Eng. & Systems 2022-02-15 Muhammad Sakib Khan Inan , Fahim Irfan Alam , Rizwan Hasan

Mammography, or breast X-ray, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe or CADx) tools have been…

Image and Video Processing · Electrical Eng. & Systems 2023-03-20 Hieu T. Nguyen , Ha Q. Nguyen , Hieu H. Pham , Khanh Lam , Linh T. Le , Minh Dao , Van Vu

Cancer has become one of the most widespread diseases in the world. Specifically, breast cancer is diagnosed more often than any other type of cancer. However, breast cancer patients and their individual tumors are often unique. Identifying…

Quantitative Methods · Quantitative Biology 2016-12-06 Chenzhe Qian

Breast cancer is described as one of the most common types of cancer which has been diagnosed mainly in women. When compared in the ratio of male to female, it has been duly found that the prone of having breast cancer is more in females…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Poulmi Banerjee , Satadal Saha

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 the most common cancer in women worldwide. The most common screening technology is mammography. To reduce the cost and workload of radiologists, we propose a computer aided detection approach for classifying and localizing…

Computer Vision and Pattern Recognition · Computer Science 2018-03-07 Pengcheng Xi , Chang Shu , Rafik Goubran

Artificial intelligence is constantly evolving and can provide effective help in all aspects of people's lives. The experiment is mainly to study the use of artificial intelligence in the field of medicine. The purpose of this experiment…

Image and Video Processing · Electrical Eng. & Systems 2023-08-08 Jiuqi Yan

The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers. However, mitosis…

Breast cancer is one of the leading causes of cancer-related mortality in women, and early detection is essential for improving outcomes. Magnetic resonance imaging (MRI) is a highly sensitive tool for breast cancer detection, particularly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Smriti Joshi , Lidia Garrucho , Richard Osuala , Oliver Diaz , Karim Lekadir

Breast cancer is the second leading cause for death among women and it is diagnosed with the help of mammograms. Oncologists are miserably failed in identifying the micro calcification at the early stage with the help of the mammogram…

Computer Vision and Pattern Recognition · Computer Science 2012-05-25 K. Thangavel , R. Roselin

We propose a new model-based computer-aided diagnosis (CAD) system for tumor detection and classification (cancerous v.s. benign) in breast images. Specifically, we show that (x-ray, ultrasound and MRI) images can be accurately modeled by…

Artificial Intelligence · Computer Science 2009-06-22 Nidhal Bouaynaya , Jerzy Zielinski , Dan Schonfeld

Accurate and efficient classification of different types of cancer is critical for early detection and effective treatment. In this paper, we present the results of our experiments using the EfficientNet algorithm for classification of…

Image and Video Processing · Electrical Eng. & Systems 2023-07-14 Romario Sameh Samir

We trained and evaluated a localization-based deep CNN for breast cancer screening exam classification on over 200,000 exams (over 1,000,000 images). Our model achieves an AUC of 0.919 in predicting malignancy in patients undergoing breast…

Image and Video Processing · Electrical Eng. & Systems 2019-08-05 Thibault Févry , Jason Phang , Nan Wu , S. Gene Kim , Linda Moy , Kyunghyun Cho , Krzysztof J. Geras

The appearance of microcalcifications in mammograms is one of the early signs of breast cancer. So, early detection of microcalcification clusters (MCCs) in mammograms can be helpful for cancer diagnosis and better treatment of breast…

Computer Vision and Pattern Recognition · Computer Science 2012-01-31 Hajar Moradmand , Saeed Setayeshi , Hossein Khazaei Targhi

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

Breast density classification is an essential part of breast cancer screening. Although a lot of prior work considered this problem as a task for learning algorithms, to our knowledge, all of them used small and not clinically realistic…

Computer Vision and Pattern Recognition · Computer Science 2017-11-13 Nan Wu , Krzysztof J. Geras , Yiqiu Shen , Jingyi Su , S. Gene Kim , Eric Kim , Stacey Wolfson , Linda Moy , Kyunghyun Cho

Breast cancer continues to be a significant cause of mortality among women globally. Timely identification and precise diagnosis of breast abnormalities are critical for enhancing patient prognosis. In this study, we focus on improving the…

Image and Video Processing · Electrical Eng. & Systems 2023-12-29 Jun Bai , Annie Jin , Madison Adams , Clifford Yang , Sheida Nabavi

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer-related mortality in women globally. Mammography is essential for the early detection and diagnosis of breast lesions. Despite recent progress in foundation…

Colorectal cancer is the third most common tumor in men and the second in women, accounting for 10% of all tumors worldwide. It ranks second in cancer-related deaths with 9.4%, following lung cancer. The decrease in mortality rate…

Other Quantitative Biology · Quantitative Biology 2022-09-27 Panagiotis Katrakazas , Aristotelis Ballas , Marco Anisetti , Ilias Spais

Breast cancer is one of the most common cancers among women globally, with early diagnosis and precise classification being crucial. With the advancement of deep learning and computer vision, the automatic classification of breast tissue…

Image and Video Processing · Electrical Eng. & Systems 2025-01-20 Jiacheng Hao , Yiqing Liu , Siqi Zeng , Yonghong He