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With the substantial diversity in population demographics, such as differences in age and body composition, the volumetric morphology of pancreas varies greatly, resulting in distinctive variations in shape and appearance. Such variations…

Image and Video Processing · Electrical Eng. & Systems 2023-06-06 Yinchi Zhou , Ho Hin Lee , Yucheng Tang , Xin Yu , Qi Yang , Shunxing Bao , Jeffrey M. Spraggins , Yuankai Huo , Bennett A. Landman

Early detection of lung cancer is essential in reducing mortality. Recent studies have demonstrated the clinical utility of low-dose computed tomography (CT) to detect lung cancer among individuals selected based on very limited clinical…

Computer Vision and Pattern Recognition · Computer Science 2019-02-25 Jiachen Wang , Riqiang Gao , Yuankai Huo , Shunxing Bao , Yunxi Xiong , Sanja L. Antic , Travis J. Osterman , Pierre P. Massion , Bennett A. Landman

Low-dose computed tomography (LDCT) imaging employed in lung cancer screening (LCS) programs is increasing in uptake worldwide. LCS programs herald a generational opportunity to simultaneously detect cancer and non-cancer-related…

The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored…

Computer Vision and Pattern Recognition · Computer Science 2019-02-01 Xiaosong Wang , Yifan Peng , Le Lu , Zhiyong Lu , Mohammadhadi Bagheri , Ronald M. Summers

Objectives: The present study evaluated the impact of a commercially available explainable AI algorithm in augmenting the ability of clinicians to identify lung cancer on chest X-rays (CXR). Design: This retrospective study evaluated the…

Lung cancer is one of the death threatening diseases among human beings. Early and accurate detection of lung cancer can increase the survival rate from lung cancer. Computed Tomography (CT) images are commonly used for detecting the lung…

Machine Learning · Statistics 2019-11-26 Md Rashidul Hasan , Muntasir Al Kabir

Lung cancer is the deadliest type of cancer worldwide and late detection is the major factor for the low survival rate of patients. Low dose computed tomography has been suggested as a potential screening tool but manual screening is…

Recently, intelligent analysis of lung nodules with the assistant of computer aided detection (CAD) techniques can improve the accuracy rate of lung cancer diagnosis. However, existing CAD systems and pulmonary datasets mainly focus on…

Image and Video Processing · Electrical Eng. & Systems 2024-06-27 Muwei Jian , Haoran Zhang , Mingju Shao , Hongyu Chen , Huihui Huang , Yanjie Zhong , Changlei Zhang , Bin Wang , Penghui Gao

Since, cancer is curable when diagnosed at an early stage, lung cancer screening plays an important role in preventive care. Although both low dose computed tomography (LDCT) and computed tomography (CT) scans provide more medical…

Image and Video Processing · Electrical Eng. & Systems 2020-07-28 Worawate Ausawalaithong , Sanparith Marukatat , Arjaree Thirach , Theerawit Wilaiprasitporn

Lung cancer risk estimation is gaining increasing importance as more countries introduce population-wide screening programs using low-dose CT (LDCT). As imaging volumes grow, scalable methods that can process entire lung volumes efficiently…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Johannes Brandt , Maulik Chevli , Rickmer Braren , Georgios Kaissis , Philip Müller , Daniel Rueckert

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

Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been recently demonstrated that low-dose computed tomography (CT)…

The construction of three-dimensional multi-modal tissue maps provides an opportunity to spur interdisciplinary innovations across temporal and spatial scales through information integration. While the preponderance of effort is allocated…

Lung cancer, a malignancy originating in lung tissues, is commonly diagnosed and classified using medical imaging techniques, particularly computed tomography (CT). Despite the integration of machine learning and deep learning methods, the…

Image and Video Processing · Electrical Eng. & Systems 2025-10-21 Olajumoke O. Adekunle , Joseph D. Akinyemi , Khadijat T. Ladoja , Olufade F. W. Onifade

Statistical models for predicting lung cancer have the potential to facilitate earlier diagnosis of malignancy and avoid invasive workup of benign disease. Many models have been published, but comparative studies of their utility in…

Chest X-rays are the most commonly available and affordable radiological examination for screening thoracic diseases. According to the domain knowledge of screening chest X-rays, the pathological information usually lay on the lung and…

Image and Video Processing · Electrical Eng. & Systems 2021-05-27 Jiansheng Fang , Yanwu Xu , Yitian Zhao , Yuguang Yan , Junling Liu , Jiang Liu

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

Lung cancer is the leading cause of cancer deaths. Early detection through low-dose computed tomography (CT) screening has been shown to significantly reduce mortality but suffers from a high false positive rate that leads to unnecessary…

Image and Video Processing · Electrical Eng. & Systems 2019-06-04 Jason L. Causey , Yuanfang Guan , Wei Dong , Karl Walker , Jake A. Qualls , Fred Prior , Xiuzhen Huang

Purpose: Interpreting chest radiographs (CXR) remains challenging due to the ambiguity of overlapping structures such as the lungs, heart, and bones. To address this issue, we propose a novel method for extracting fine-grained anatomical…

Image and Video Processing · Electrical Eng. & Systems 2023-06-08 Constantin Seibold , Alexander Jaus , Matthias A. Fink , Moon Kim , Simon Reiß , Ken Herrmann , Jens Kleesiek , Rainer Stiefelhagen

Recently, Computer-Aided Diagnosis (CAD) systems have emerged as indispensable tools in clinical diagnostic workflows, significantly alleviating the burden on radiologists. Nevertheless, despite their integration into clinical settings, CAD…

Image and Video Processing · Electrical Eng. & Systems 2024-06-27 Muwei Jian , Hongyu Chen , Zaiyong Zhang , Nan Yang , Haorang Zhang , Lifu Ma , Wenjing Xu , Huixiang Zhi
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