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Cardiovascular disease (CVD) is a leading cause of death in the lung cancer screening population. Chest CT scans made in lung cancer screening are suitable for identification of participants at risk of CVD. Existing methods analyzing CT…

计算机视觉与模式识别 · 计算机科学 2018-10-05 Sanne G. M. van Velzen , Majd Zreik , Nikolas Lessmann , Max A. Viergever , Pim A. de Jong , Helena M. Verkooijen , Ivana Išgum

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…

图像与视频处理 · 电气工程与系统科学 2019-06-04 Jason L. Causey , Yuanfang Guan , Wei Dong , Karl Walker , Jake A. Qualls , Fred Prior , Xiuzhen Huang

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)…

Known for its high morbidity and mortality rates, lung cancer poses a significant threat to human health and well-being. However, the same population is also at high risk for other deadly diseases, such as cardiovascular disease. Since…

计算机视觉与模式识别 · 计算机科学 2018-10-22 Pingkun Yan , Hengtao Guo , Ge Wang , Ruben De Man , Mannudeep K. Kalra

With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in the United States. Lung cancer CT screening has been shown to reduce mortality by up to 40% and is now included in US screening guidelines.…

图像与视频处理 · 电气工程与系统科学 2020-07-28 Daniel Korat

Lung cancer is the leading cause of cancer-related mortality worldwide. Lung cancer screening (LCS) using annual low-dose computed tomography (CT) scanning has been proven to significantly reduce lung cancer mortality by detecting cancerous…

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…

图像与视频处理 · 电气工程与系统科学 2020-07-28 Worawate Ausawalaithong , Sanparith Marukatat , Arjaree Thirach , Theerawit Wilaiprasitporn

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…

计算机视觉与模式识别 · 计算机科学 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

Lung cancer is the leading cause of death among different types of cancers. Every year, the lives lost due to lung cancer exceed those lost to pancreatic, breast, and prostate cancer combined. The survival rate for lung cancer patients is…

图像与视频处理 · 电气工程与系统科学 2023-02-17 Saleh Abunajm , Nelly Elsayed , Zag ElSayed , Murat Ozer

The most deadly and life-threatening disease in the world is lung cancer. Though early diagnosis and accurate treatment are necessary for lowering the lung cancer mortality rate. A computerized tomography (CT) scan-based image is one of the…

图像与视频处理 · 电气工程与系统科学 2023-04-12 Muntasir Mamun , Md Ishtyaq Mahmud , Mahabuba Meherin , Ahmed Abdelgawad

Recent studies have highlighted the high correlation between cardiovascular diseases (CVD) and lung cancer, and both are associated with significant morbidity and mortality. Low-Dose CT (LCDT) scans have led to significant improvements in…

计算机视觉与模式识别 · 计算机科学 2019-11-27 Hengtao Guo , Uwe Kruger , Ge Wang , Mannudeep K. Kalra , Pingkun Yan

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…

计算机视觉与模式识别 · 计算机科学 2025-11-26 Johannes Brandt , Maulik Chevli , Rickmer Braren , Georgios Kaissis , Philip Müller , Daniel Rueckert

Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial for improving patients' survival outcomes. In this paper, we propose to employ convolutional neural networks to model the non-linear…

图像与视频处理 · 电气工程与系统科学 2024-08-20 Xiawei Wang , James Sharpnack , Thomas C. M. Lee

Annual low dose computed tomography (CT) lung screening is currently advised for individuals at high risk of lung cancer (e.g., heavy smokers between 55 and 80 years old). The recommended screening practice significantly reduces all-cause…

计算机视觉与模式识别 · 计算机科学 2020-02-18 Riqiang Gao , Lingfeng Li , Yucheng Tang , Sanja L. Antic , Alexis B. Paulson , Yuankai Huo , Kim L. Sandler , Pierre P. Massion , Bennett A. Landman

Lung cancer, the second leading cause of cancer-related deaths, is primarily linked to long-term tobacco smoking (85% of cases). Surprisingly, 10-15% of cases occur in non-smokers. In 2020, approximately 2 million people were affected…

计算机视觉与模式识别 · 计算机科学 2026-04-14 Imama Ajmi , Abhishek Das

Aim: Early detection and correct diagnosis of lung cancer are the most important steps in improving patient outcome. This study aims to assess which deep learning models perform best in lung cancer diagnosis. Methods: Non-small cell lung…

计算机视觉与模式识别 · 计算机科学 2018-03-16 Zhang Li , Zheyu Hu , Jiaolong Xu , Tao Tan , Hui Chen , Zhi Duan , Ping Liu , Jun Tang , Guoping Cai , Quchang Ouyang , Yuling Tang , Geert Litjens , Qiang Li

Lung cancer is the leading cause of cancer-related mortality in adults worldwide. Screening high-risk individuals with annual low-dose CT (LDCT) can support earlier detection and reduce deaths, but widespread implementation may strain the…

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…

图像与视频处理 · 电气工程与系统科学 2025-08-11 Mobarak Abumohsen , Enrique Costa-Montenegro , Silvia García-Méndez , Amani Yousef Owda , Majdi Owda

We introduce a new computer aided detection and diagnosis system for lung cancer screening with low-dose CT scans that produces meaningful probability assessments. Our system is based entirely on 3D convolutional neural networks and…

计算机视觉与模式识别 · 计算机科学 2020-01-22 Onur Ozdemir , Rebecca L. Russell , Andrew A. Berlin

Importance: Coronary algorithm for cardiac sub structures and prospective real-time surveillance of cardiac dose exposure. Methods: Retro and prospective study to validate AI auto-segmentation. A 3D UNet was trained on 560 thoracic CT scans…

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