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Purpose: Identification of abdominal Lymph Nodes (LN) that are suspicious for metastasis in T2 Magnetic Resonance Imaging (MRI) scans is critical for staging of lymphoproliferative diseases. Prior work on LN detection has been limited to…

Image and Video Processing · Electrical Eng. & Systems 2022-04-05 Tejas Sudharshan Mathai , Sungwon Lee , Thomas C. Shen , Zhiyong Lu , Ronald M. Summers

Identification of lymph nodes (LN) in T2 Magnetic Resonance Imaging (MRI) is an important step performed by radiologists during the assessment of lymphoproliferative diseases. The size of the nodes play a crucial role in their staging, and…

Image and Video Processing · Electrical Eng. & Systems 2021-11-10 Tejas Sudharshan Mathai , Sungwon Lee , Daniel C. Elton , Thomas C. Shen , Yifan Peng , Zhiyong Lu , Ronald M. Summers

Enlarged lymph nodes (LNs) can provide important information for cancer diagnosis, staging, and measuring treatment reactions, making automated detection a highly sought goal. In this paper, we propose a new algorithm representation of…

Computer Vision and Pattern Recognition · Computer Science 2014-08-15 Ari Seff , Le Lu , Kevin M. Cherry , Holger Roth , Jiamin Liu , Shijun Wang , Joanne Hoffman , Evrim B. Turkbey , Ronald M. Summers

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

Metastasis on lymph nodes (LNs), the most common way of spread for primary tumor cells, is a sign of increased mortality. However, metastatic LNs are time-consuming and challenging to detect even for professional radiologists due to their…

Image and Video Processing · Electrical Eng. & Systems 2023-01-10 Chaoyi Wu , Feng Chang , Xiao Su , Zhihan Wu , Yanfeng Wang , Ling Zhu , Ya Zhang

Automatic lymph node (LN) segmentation and detection for cancer staging are critical. In clinical practice, computed tomography (CT) and positron emission tomography (PET) imaging detect abnormal LNs. Despite its low contrast and variety in…

Image and Video Processing · Electrical Eng. & Systems 2022-12-23 Al-Akhir Nayan , Boonserm Kijsirikul , Yuji Iwahori

Lymph node (LN) assessment is a critical, indispensable yet very challenging task in the routine clinical workflow of radiology and oncology. Accurate LN analysis is essential for cancer diagnosis, staging, and treatment planning. Finding…

Computer Vision and Pattern Recognition · Computer Science 2025-04-24 Yirui Wang , Qinji Yu , Ke Yan , Haoshen Li , Dazhou Guo , Li Zhang , Le Lu , Na Shen , Qifeng Wang , Xiaowei Ding , Xianghua Ye , Dakai Jin

Automated Lymph Node (LN) detection is an important clinical diagnostic task but very challenging due to the low contrast of surrounding structures in Computed Tomography (CT) and to their varying sizes, poses, shapes and sparsely…

Computer Vision and Pattern Recognition · Computer Science 2015-09-17 Holger R. Roth , Le Lu , Ari Seff , Kevin M. Cherry , Joanne Hoffman , Shijun Wang , Jiamin Liu , Evrim Turkbey , Ronald M. Summers

Metastatic presence in lymph nodes is one of the most important prognostic variables of breast cancer. The current diagnostic procedure for manually reviewing sentinel lymph nodes, however, is very time-consuming and subjective.…

Computer Vision and Pattern Recognition · Computer Science 2016-08-05 Richard Chen , Yating Jing , Hunter Jackson

Determining the spread of GTV$_{LN}$ is essential in defining the respective resection or irradiating regions for the downstream workflows of surgical resection and radiotherapy for many cancers. Different from the more common enlarged…

Computer Vision and Pattern Recognition · Computer Science 2020-09-01 Chun-Hung Chao , Zhuotun Zhu , Dazhou Guo , Ke Yan , Tsung-Ying Ho , Jinzheng Cai , Adam P. Harrison , Xianghua Ye , Jing Xiao , Alan Yuille , Min Sun , Le Lu , Dakai Jin

Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer, and the ability to predict it accurately is essential for treatment optimization. PET and CT imaging are routinely used for LNM…

Purpose: Lymph nodes (LNs) in the chest have a tendency to enlarge due to various pathologies, such as lung cancer or pneumonia. Clinicians routinely measure nodal size to monitor disease progression, confirm metastatic cancer, and assess…

Image and Video Processing · Electrical Eng. & Systems 2024-01-15 Tejas Sudharshan Mathai , Bohan Liu , Ronald M. Summers

Lymph node metastasis is one of the most significant diagnostic indicators in breast cancer, which is traditionally observed under the microscope by pathologists. In recent years, computerized histology diagnosis has become one of the most…

Computer Vision and Pattern Recognition · Computer Science 2017-08-01 Huangjing Lin , Hao Chen , Qi Dou , Liansheng Wang , Jing Qin , Pheng-Ann Heng

As lung cancer evolves, the presence of enlarged and potentially malignant lymph nodes must be assessed to properly estimate disease progression and select the best treatment strategy. Following the clinical guidelines, estimation of…

Image and Video Processing · Electrical Eng. & Systems 2022-05-03 David Bouget , André Pedersen , Johanna Vanel , Haakon O. Leira , Thomas Langø

Effective treatment for rectal cancer relies on accurate lymph node metastasis (LNM) staging. However, radiological criteria based on lymph node (LN) size, shape and texture morphology have limited diagnostic accuracy. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2025-07-17 Benjamin Keel , Aaron Quyn , David Jayne , Maryam Mohsin , Samuel D. Relton

Breast cancer is a major concern for women's health globally, with axillary lymph node (ALN) metastasis identification being critical for prognosis evaluation and treatment guidance. This paper presents a deep learning (DL) classification…

Image and Video Processing · Electrical Eng. & Systems 2023-10-09 Glejdis Shkëmbi , Johanna P. Müller , Zhe Li , Katharina Breininger , Peter Schüffler , Bernhard Kainz

Finding, identifying and segmenting suspicious cancer metastasized lymph nodes from 3D multi-modality imaging is a clinical task of paramount importance. In radiotherapy, they are referred to as Lymph Node Gross Tumor Volume (GTVLN).…

Image and Video Processing · Electrical Eng. & Systems 2020-08-28 Zhuotun Zhu , Dakai Jin , Ke Yan , Tsung-Ying Ho , Xianghua Ye , Dazhou Guo , Chun-Hung Chao , Jing Xiao , Alan Yuille , Le Lu

Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer, and the ability to predict it accurately is essential for treatment optimization. PET and CT imaging are routinely used for LNM…

Automatic lymph node segmentation is the cornerstone for advances in computer vision tasks for early detection and staging of cancer. Traditional segmentation methods are constrained by manual delineation and variability in operator…

Image and Video Processing · Electrical Eng. & Systems 2025-06-11 Jingguo Qu , Xinyang Han , Man-Lik Chui , Yao Pu , Simon Takadiyi Gunda , Ziman Chen , Jing Qin , Ann Dorothy King , Winnie Chiu-Wing Chu , Jing Cai , Michael Tin-Cheung Ying

Lymph node (LN) metastasis status is one of the most critical prognostic and cancer staging factors for patients with resectable pancreatic ductal adenocarcinoma (PDAC), or in general, for any types of solid malignant tumors. Preoperative…

Image and Video Processing · Electrical Eng. & Systems 2023-01-05 Zhilin Zheng , Xu Fang , Jiawen Yao , Mengmeng Zhu , Le Lu , Lingyun Huang , Jing Xiao , Yu Shi , Hong Lu , Jianping Lu , Ling Zhang , Chengwei Shao , Yun Bian
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