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Breast cancer is the most common cancers and early detection from mammography screening is crucial in improving patient outcomes. Assessing mammographic breast density is clinically important as the denser breasts have higher risk and are…

Image and Video Processing · Electrical Eng. & Systems 2022-06-27 Charles Lu , Ken Chang , Praveer Singh , Jayashree Kalpathy-Cramer

Bladder cancer is one of the most prevalent malignancies worldwide, with a recurrence rate of up to 78%, necessitating accurate post-operative monitoring for effective patient management. Multi-sequence contrast-enhanced MRI is commonly…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Xueyang Li , Zongren Wang , Yuliang Zhang , Zixuan Pan , Yu-Jen Chen , Nishchal Sapkota , Gelei Xu , Danny Z. Chen , Yiyu Shi

Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk…

Image and Video Processing · Electrical Eng. & Systems 2021-06-09 Hanqing Chao , Hongming Shan , Fatemeh Homayounieh , Ramandeep Singh , Ruhani Doda Khera , Hengtao Guo , Timothy Su , Ge Wang , Mannudeep K. Kalra , Pingkun Yan

Colorectal cancer is one of the most common and lethal cancers and colorectal cancer liver metastases (CRLM) is the major cause of death in patients with colorectal cancer. Multifocality occurs frequently in CRLM, but is relatively…

Computer Vision and Pattern Recognition · Computer Science 2021-07-13 Jianan Chen , Helen M. C. Cheung , Laurent Milot , Anne L. Martel

Colorectal cancer, largely arising from precursor lesions called polyps, remains one of the leading causes of cancer-related death worldwide. Current clinical standards require the resection and histopathological analysis of polyps due to…

Image and Video Processing · Electrical Eng. & Systems 2020-01-13 Rodney LaLonde , Pujan Kandel , Concetto Spampinato , Michael B. Wallace , Ulas Bagci

Comparative diagnostic in brain tumor evaluation makes possible to use the available information of a medical center to compare similar cases when a new patient is evaluated. By leveraging Artificial Intelligence models, the proposed system…

Image and Video Processing · Electrical Eng. & Systems 2024-05-31 Guillermo Iglesias , Edgar Talavera , Jesús Troya Garcìa , Alberto Díaz-Álvarez , Miguel Gracía-Remesal

Computational pathology is part of precision oncology medicine. The integration of high-throughput data including genomics, transcriptomics, proteomics, metabolomics, pathomics, and radiomics into clinical practice improves cancer treatment…

Image and Video Processing · Electrical Eng. & Systems 2022-06-07 Liangrui Pan , Zhichao Feng , Shaoliang Peng

Lung cancer (LC) ranks among the most frequently diagnosed cancers and is one of the most common causes of death for men and women worldwide. Computed Tomography (CT) images are the most preferred diagnosis method because of their low cost…

Image and Video Processing · Electrical Eng. & Systems 2025-08-11 Mobarak Abumohsen , Enrique Costa-Montenegro , Silvia García-Méndez , Amani Yousef Owda , Majdi Owda

Dealing with the application of grading colorectal cancer images, this work proposes a 3 step pipeline for prediction of cancer levels from a histopathology image. The overall model performs better compared to other state of the art methods…

Computer Vision and Pattern Recognition · Computer Science 2020-10-05 Franziska Lippoldt

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

Breast cancer is a prominent health concern worldwide, currently being the secondmost common and second-deadliest type of cancer in women. While current breast cancer diagnosis mainly relies on mammography imaging, in recent years the use…

Image and Video Processing · Electrical Eng. & Systems 2024-06-25 Tamir Shor , Chaim Baskin , Alex Bronstein

Breast cancer is the second most common malignancy among women and has become a major public health problem in current society. Traditional breast cancer identification requires experienced pathologists to carefully read the breast slice,…

Computer Vision and Pattern Recognition · Computer Science 2018-04-19 Xinpeng Xie , Yuexiang Li , Linlin Shen

Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide, with gastrointestinal (GI) polyps serving as critical precursors according to the World Health Organization (WHO). Early and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Akwasi Asare , Thanh-Huy Nguyen , Ulas Bagci

Endometrial cancer is one of the most common tumors in the female reproductive system and is the third most common gynecological malignancy that causes death after ovarian and cervical cancer. Early diagnosis can significantly improve the…

Image and Video Processing · Electrical Eng. & Systems 2023-10-12 Dechao Tang , Tianming Du , Deguo Ma , Zhiyu Ma , Hongzan Sun , Marcin Grzegorzek , Huiyan Jiang , Chen Li

Background. Breast cancer screening programs using mammography have led to significant mortality reduction in high-income countries. However, many low- and middle-income countries lack resources for mammographic screening. Handheld breast…

Image and Video Processing · Electrical Eng. & Systems 2024-11-13 Arianna Bunnell , Dustin Valdez , Fredrik Strand , Yannik Glaser , Peter Sadowski , John A. Shepherd

The incidence of malignant melanoma continues to increase worldwide. This cancer can strike at any age; it is one of the leading causes of loss of life in young persons. Since this cancer is visible on the skin, it is potentially detectable…

Computer Vision and Pattern Recognition · Computer Science 2016-01-29 Nabin K. Mishra , M. Emre Celebi

Thyroid cancer, the most prevalent endocrine cancer, has gained significant global attention due to its impact on public health. Extensive research efforts have been dedicated to leveraging artificial intelligence (AI) methods for the early…

Machine Learning · Computer Science 2024-01-09 Xinyu Zhang , Vincent CS Lee , Feng Liu

The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system. While artificial intelligence (AI) has shown promise in accurately…

Background and Purpose: Colorectal cancer is a common fatal malignancy, the fourth most common cancer in men, and the third most common cancer in women worldwide. Timely detection of cancer in its early stages is essential for treating the…

In this work, we investigate the importance of ethnicity in colorectal cancer survivability prediction using machine learning techniques and the SEER cancer incidence database. We compare model performances for 2-year survivability…

Machine Learning · Computer Science 2019-01-15 Samuel Li , Talayeh Razzaghi