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Image-guided adaptive lung radiotherapy requires accurate tumor and organs segmentation from during treatment cone-beam CT (CBCT) images. Thoracic CBCTs are hard to segment because of low soft-tissue contrast, imaging artifacts, respiratory…

Image and Video Processing · Electrical Eng. & Systems 2022-03-01 Jue Jiang , Harini Veeraraghavan

Chest x-rays are the most common radiology studies for diagnosing lung and heart disease. Hence, a system for automated pre-reporting of pathologic findings on chest x-rays would greatly enhance radiologists' productivity. To this end, we…

Image and Video Processing · Electrical Eng. & Systems 2020-06-15 Adora M. DSouza , Anas Z. Abidin , Axel Wismüller

Accurate classification of lung diseases from chest CT scans plays an important role in computer-aided diagnosis systems. However, medical imaging datasets often suffer from severe class imbalance, which may significantly degrade the…

Image and Video Processing · Electrical Eng. & Systems 2026-03-18 Kejin Lu , Jianfa Bai , Qingqiu Li , Runtian Yuan , Jilan Xu , Junlin Hou , Yuejie Zhang , Rui Feng

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…

Computer Vision and Pattern Recognition · Computer Science 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

Computational anatomy allows the quantitative analysis of organs in medical images. However, most analysis is constrained to the millimeter scale because of the limited resolution of clinical computed tomography (CT). X-ray microtomography…

Computer Vision and Pattern Recognition · Computer Science 2017-02-28 Holger R. Roth , Kai Nagara , Hirohisa Oda , Masahiro Oda , Tomoshi Sugiyama , Shota Nakamura , Kensaku Mori

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…

Computer Vision and Pattern Recognition · Computer Science 2018-10-05 Sanne G. M. van Velzen , Majd Zreik , Nikolas Lessmann , Max A. Viergever , Pim A. de Jong , Helena M. Verkooijen , Ivana Išgum

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.…

Image and Video Processing · Electrical Eng. & Systems 2020-07-28 Daniel Korat

Early detection of malignant lung nodules remains constrained by size and growth based screening criteria, often delaying diagnosis. We present an integrated AI system that jointly performs nodule detection and malignancy assessment…

Finding abnormal lymph nodes in radiological images is highly important for various medical tasks such as cancer metastasis staging and radiotherapy planning. Lymph nodes (LNs) are small glands scattered throughout the body. They are…

Computer Vision and Pattern Recognition · Computer Science 2023-07-31 Ke Yan , Dakai Jin , Dazhou Guo , Minfeng Xu , Na Shen , Xian-Sheng Hua , Xianghua Ye , Le Lu

A statistical volumetric model, showing the probability map of localized prostate cancer within the host anatomical structure, has been developed from 90 optically-imaged surgical specimens. This master model permits an accurate…

Quantitative Methods · Quantitative Biology 2014-09-16 Liang Zhao , Jianhua Xuan , Yue Wang

Lung cancer remains one of the most common and deadliest forms of cancer worldwide. The likelihood of successful treatment depends strongly on the stage at which the disease is diagnosed. Therefore, early detection of lung cancer represents…

Image and Video Processing · Electrical Eng. & Systems 2026-02-16 Volodymyr Sydorskyi

Recent studies have shown that lung cancer screening using annual low-dose computed tomography (CT) reduces lung cancer mortality by 20% compared to traditional chest radiography. Therefore, CT lung screening has started to be used widely…

Image and Video Processing · Electrical Eng. & Systems 2021-07-13 Gorkem Polat , Yesim Dogrusoz Serinagaoglu , Ugur Halici

Due to silence in early stages, lung cancer has been one of the most leading causes of mortality in cancer patients world-wide. Moreover, major symptoms of lung cancer are hard to differentiate with other respiratory disease symptoms such…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Daeyoung Kim

Assessing cancer progression in liver CT scans is a clinical challenge, requiring a comparison of scans at different times for the same patient. Practitioners must identify existing tumors, compare them with prior exams, identify new…

Image and Video Processing · Electrical Eng. & Systems 2025-01-27 Walid Yassine , Martin Charachon , Céline Hudelot , Roberto Ardon

The advancement of computer-aided detection systems had a significant impact on clinical analysis and decision-making on human disease. Lung cancer requires more attention among the numerous diseases being examined because it affects both…

Image and Video Processing · Electrical Eng. & Systems 2023-05-24 Jafar Abdollahi

Due to its predominantly asymptomatic or mildly symptomatic progression, lung cancer is often diagnosed in advanced stages, resulting in poorer survival rates for patients. As with other cancers, early detection significantly improves the…

Lung cancer accounts for the highest number of cancer deaths globally. Early diagnosis of lung nodules is very important to reduce the mortality rate of patients by improving the diagnosis and treatment of lung cancer. This work proposes an…

Computer Vision and Pattern Recognition · Computer Science 2016-05-27 Tizita Nesibu Shewaye , Alhayat Ali Mekonnen

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…

Non-contrast chest CTs offer a rich opportunity for both conventional pulmonary and opportunistic extra-pulmonary screening. While Multi-Task Learning (MTL) can unify these diverse tasks, standard hard-parameter sharing approaches are often…

Image and Video Processing · Electrical Eng. & Systems 2026-04-06 Fengbei Liu , Sunwoo Kwak , Hao Phung , Nusrat Binta Nizam , Ilan Richter , Nir Uriel , Hadar Averbuch-Elor , Daborah Estrin , Mert R. Sabuncu

The spatial distributions of different types of cells could reveal a cancer cell growth pattern, its relationships with the tumor microenvironment and the immune response of the body, all of which represent key hallmarks of cancer. However,…

Computer Vision and Pattern Recognition · Computer Science 2018-09-28 Shidan Wang , Tao Wang , Lin Yang , Faliu Yi , Xin Luo , Yikun Yang , Adi Gazdar , Junya Fujimoto , Ignacio I. Wistuba , Bo Yao , ShinYi Lin , Yang Xie , Yousheng Mao , Guanghua Xiao