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Ultrasound is a useful technique for diagnosing thyroid nodules. Benign and malignant nodules that automatically discriminate in the ultrasound pictures can provide diagnostic recommendations or, improve diagnostic accuracy in the absence…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Ponugoti Nikhila , Sabari Nathan , Elmer Jeto Gomes Ataide , Alfredo Illanes , Michael Friebe , Srichandana Abbineni

Ultrasound-based risk stratification of thyroid nodules is a critical clinical task, but it suffers from high inter-observer variability. While many deep learning (DL) models function as "black boxes," we propose a fully automated,…

Image and Video Processing · Electrical Eng. & Systems 2025-11-18 Omar Abdelrazik , Mohamed Elsayed , Noorul Wahab , Nasir Rajpoot , Adam Shephard

Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields. These automated systems take advantage of various computer vision (CV) procedures, as well as artificial intelligence (AI)…

Image and Video Processing · Electrical Eng. & Systems 2021-10-26 Danilo Avola , Luigi Cinque , Alessio Fagioli , Sebastiano Filetti , Giorgio Grani , Emanuele Rodolà

Thyroid nodule classification and segmentation in ultrasound images are crucial for computer-aided diagnosis; however, they face limitations owing to insufficient labeled data. In this study, we proposed a multi-view contrastive…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Jian Wang , Xin Yang , Xiaohong Jia , Wufeng Xue , Rusi Chen , Yanlin Chen , Xiliang Zhu , Lian Liu , Yan Cao , Jianqiao Zhou , Dong Ni , Ning Gu

Ultrasound (US) is the primary imaging technique for the diagnosis of thyroid cancer. However, accurate identification of nodule malignancy is a challenging task that can elude less-experienced clinicians. Recently, many computer-aided…

Image and Video Processing · Electrical Eng. & Systems 2022-07-12 Van T. Manh , Jianqiao Zhou , Xiaohong Jia , Zehui Lin , Wenwen Xu , Zihan Mei , Yijie Dong , Xin Yang , Ruobing Huang , Dong Ni

Segmentation of nodules in thyroid ultrasound imaging plays a crucial role in the detection and treatment of thyroid cancer. However, owing to the diversity of scanner vendors and imaging protocols in different hospitals, the automatic…

Image and Video Processing · Electrical Eng. & Systems 2024-01-23 Xuewei Li , Yaqiao Zhu , Jie Gao , Xi Wei , Ruixuan Zhang , Yuan Tian , ZhiQiang Liu

Thyroid nodule classification using ultrasound imaging is essential for early diagnosis and clinical decision-making; however, despite promising performance on in-distribution data, existing deep learning methods often exhibit limited…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Yangmei Chen , Zhongyuan Zhang , Xikun Zhang , Xinyu Hao , Mingliang Hou , Renqiang Luo , Ziqi Xu

Accurate thyroid nodule segmentation in ultrasound images is critical for diagnosis and treatment planning. However, ambiguous boundaries between nodules and surrounding tissues, size variations, and the scarcity of annotated ultrasound…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Muhammad Umar Farooq , Abd Ur Rehman , Azka Rehman , Muhammad Usman , Dong-Kyu Chae , Junaid Qadir

Thyroid cancer is a common endocrine carcinoma that occurs in the thyroid gland. Much effort has been invested in improving its diagnosis, and thyroidectomy remains the primary treatment method. A successful operation without unnecessary…

Machine Learning · Computer Science 2022-03-31 Nan Miles Xi , Lin Wang , Chuanjia Yang

Accurate detection of ultrasound nodules is essential for the early diagnosis and treatment of thyroid and breast cancers. However, this task remains challenging due to irregular nodule shapes, indistinct boundaries, substantial scale…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Jingjing Wang , Zhuo Xiao , Xinning Yao , Bo Liu , Lijuan Niu , Xiangzhi Bai , Fugen Zhou

Objectives: The purpose is to apply a previously validated deep learning algorithm to a new thyroid nodule ultrasound image dataset and compare its performances with radiologists. Methods: Prior study presented an algorithm which is able to…

Image and Video Processing · Electrical Eng. & Systems 2023-05-08 Jingxi Weng , Benjamin Wildman-Tobriner , Mateusz Buda , Jichen Yang , Lisa M. Ho , Brian C. Allen , Wendy L. Ehieli , Chad M. Miller , Jikai Zhang , Maciej A. Mazurowski

Over the past decades, the incidence of thyroid cancer has been increasing globally. Accurate and early diagnosis allows timely treatment and helps to avoid over-diagnosis. Clinically, a nodule is commonly evaluated from both transverse and…

Computer Vision and Pattern Recognition · Computer Science 2022-07-04 Han Huang , Yijie Dong , Xiaohong Jia , Jianqiao Zhou , Dong Ni , Jun Cheng , Ruobing Huang

The incidence of thyroid nodule is very high and generally increases with the age. Thyroid nodule may presage the emergence of thyroid cancer. The thyroid nodule can be completely cured if detected early. Fine needle aspiration cytology is…

Computer Vision and Pattern Recognition · Computer Science 2012-11-06 Jie Zhao , Wei Zheng , Li Zhang , Hua Tian

Thyroid nodule segmentation in ultrasound images is crucial for accurate diagnosis and treatment planning. However, existing methods face challenges in segmentation accuracy, interpretability, and generalization, which hinder their…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Xinjie Sun , Boxiong Wei , Yalong Jiang , Liquan Mao , Qi Zhao

Weakly supervised segmentation methods can delineate thyroid nodules in ultrasound images efficiently using training data with coarse labels, but suffer from: 1) low-confidence pseudo-labels that follow topological priors, introducing…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Jianning Chi , Zelan Li , Geng Lin , MingYang Sun , Xiaosheng Yu

Thyroid disorders are most commonly diagnosed using high-resolution Ultrasound (US). Longitudinal nodule tracking is a pivotal diagnostic protocol for monitoring changes in pathological thyroid morphology. This task, however, imposes a…

Image and Video Processing · Electrical Eng. & Systems 2023-09-04 Lennart Bastian , Vincent Bürgin , Ha Young Kim , Alexander Baumann , Benjamin Busam , Mahdi Saleh , Nassir Navab

Thyroid nodule segmentation is a crucial step in the diagnostic procedure of physicians and computer-aided diagnosis systems. Mostly, current studies treat segmentation and diagnosis as independent tasks without considering the correlation…

Image and Video Processing · Electrical Eng. & Systems 2023-08-30 Weihua Liu , Chaochao Lin

Thyroid cancer is common worldwide, with a rapid increase in prevalence across North America in recent years. While most patients present with palpable nodules through physical examination, a large number of small and medium-sized nodules…

Image and Video Processing · Electrical Eng. & Systems 2020-06-11 Fatemeh Abdolali , Atefeh Shahroudnejad , Abhilash Rakkunedeth Hareendranathan , Jacob L Jaremko , Michelle Noga , Kumaradevan Punithakumar

Ultrasound is a vital diagnostic technique in health screening, with the advantages of non-invasive, cost-effective, and radiation free, and therefore is widely applied in the diagnosis of nodules. However, it relies heavily on the…

Image and Video Processing · Electrical Eng. & Systems 2025-11-25 Siyuan Jiang , Yan Ding , Yuling Wang , Lei Xu , Wenli Dai , Wanru Chang , Jianfeng Zhang , Jie Yu , Jianqiao Zhou , Chunquan Zhang , Ping Liang , Dexing Kong

Background: Thyroid ultrasound is commonly performed using a combination of static images and cine clips (video recordings). However, the exact utility and impact of cine images remains unknown. This study aimed to evaluate the impact of…

Image and Video Processing · Electrical Eng. & Systems 2026-02-03 Jichen Yang , Brian C. Allen , Kirti Magudia , Lisa M. Ho , Chad M. Miller , Maciej A. Mazurowski , Benjamin Wildman-Tobriner
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