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Coronary artery calcification (CAC) is a strong and independent predictor of cardiovascular disease (CVD). However, manual assessment of CAC often requires radiological expertise, time, and invasive imaging techniques. The purpose of this…

Computer Vision and Pattern Recognition · Computer Science 2024-02-16 Andrew M. Nguyen , Jianfei Liu , Tejas Sudharshan Mathai , Peter C. Grayson , Ronald M. Summers

Optical coherence tomography (OCT) is being increasingly adopted as a label-free and non-invasive technique for biomedical applications such as cancer and ocular disease diagnosis. Diagnostic information for these tissues is manifest in…

Diabetic Retinopathy (DR), a prevalent and severe complication of diabetes, affects millions of individuals globally, underscoring the need for accurate and timely diagnosis. Recent advancements in imaging technologies, such as…

Coronary artery disease leading up to stenosis, the partial or total blocking of coronary arteries, is a severe condition that affects millions of patients each year. Automated identification and classification of stenosis severity from…

Image and Video Processing · Electrical Eng. & Systems 2021-03-05 Dinis L. Rodrigues , Miguel Nobre Menezes , Fausto J. Pinto , Arlindo L. Oliveira

The quantification of the coronary artery stenosis is of significant clinical importance in coronary artery disease diagnosis and intervention treatment. It aims to quantify the morphological indices of the coronary artery lesions such as…

Image and Video Processing · Electrical Eng. & Systems 2020-08-11 Dong Zhang , Guang Yang , Shu Zhao , Yanping Zhang , Heye Zhang , Shuo Li

Significance: Speckle has historically been considered a source of noise in coherent light imaging. However, a number of works in optical coherence tomography (OCT) imaging have shown that speckle patterns may contain relevant information…

Artificial intelligence (AI) methodologies hold great promise for the rapid and accurate diagnosis of coronary artery disease (CAD) from intravascular optical coherent tomography (IVOCT) images. Numerous papers have been published…

Image and Video Processing · Electrical Eng. & Systems 2025-02-03 Xu Chen , Yuan Huang , Benn Jessney , Jason Sangha , Sophie Gu , Carola-Bibiane Schönlieb , Martin Bennett , Michael Roberts

Diabetic retinopathy (DR) is a complication of diabetes, and one of the major causes of vision impairment in the global population. As the early-stage manifestation of DR is usually very mild and hard to detect, an accurate diagnosis via…

Computer Vision and Pattern Recognition · Computer Science 2022-12-14 Yuhan Zheng , Fuping Wu , Bartłomiej W. Papież

Aortic dissection is a serious pathology and requires an emergency management. It is characterized by one or more tears of the intimal wall of the normal blood duct of the aorta (true lumen); the blood under pressure then creates a second…

Image and Video Processing · Electrical Eng. & Systems 2025-07-08 Christophe Lohou , Bruno Miguel

This short textbook was written for someone who newly start studying, doing research, or development about optical coherence tomography (OCT) or using OCT. The first chapter summarizes the concept and the history of OCT. In the second…

Medical Physics · Physics 2022-12-09 Yoshiaki Yasuno

Optical coherence tomography (OCT) is a non-invasive imaging modality which is widely used in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which is crucial for early diagnosis of retinal diseases. In…

Computer Vision and Pattern Recognition · Computer Science 2019-05-28 Peyman Gholami , Priyanka Roy , Mohana Kuppuswamy Parthasarathy , Vasudevan Lakshminarayanan

To decrease patient waiting time for diagnosis of the Coronary Artery Disease, automatic methods are applied to identify its severity using Coronary Computed Tomography Angiography scans or extracted Multiplanar Reconstruction (MPR) images,…

Image and Video Processing · Electrical Eng. & Systems 2020-06-16 Mariia Dobko , Bohdan Petryshak , Oles Dobosevych

Detection of non-calcified plaques in the coronary tree is a challenging problem due to the nature of comprising substances. Hard plaques are easily discernible in CTA data cloud due to apparent bright behaviour, therefore many approaches…

Computer Vision and Pattern Recognition · Computer Science 2016-08-02 Muhammad Moazzam Jawaid

Segmenting specific targets or structures in optical coherence tomography angiography (OCTA) images is fundamental for conducting further pathological studies. The retinal vascular layers are rich and intricate, and such vascular with…

Image and Video Processing · Electrical Eng. & Systems 2024-04-30 Xinrun Chen , Mei Shen , Haojian Ning , Mengzhan Zhang , Chengliang Wang , Shiying Li

Optical coherence tomography (OCT) is a non-invasive volumetric imaging modality with high spatial and temporal resolution. For imaging larger tissue structures, OCT probes need to be moved to scan the respective area. For handheld…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Suresh Guttikonda , Maximilian Neidhardt , Vidas Raudonis , Alexander Schlaefer

Optical coherence tomography angiography (OCTA) is a new imaging modality to visualize retinal microvasculature and has been readily adopted in clinics. High-resolution OCT angiograms are important to qualitatively and quantitatively…

Image and Video Processing · Electrical Eng. & Systems 2023-05-11 Yuyan Ruan , Dawei Yang , Ziqi Tang , An Ran Ran , Carol Y. Cheung , Hao Chen

This paper considers making active learning more sensible from a medical perspective. In practice, a disease manifests itself in different forms across patient cohorts. Existing frameworks have primarily used mathematical constructs to…

Image and Video Processing · Electrical Eng. & Systems 2022-06-28 Yash-yee Logan , Ryan Benkert , Ahmad Mustafa , Gukyeong Kwon , Ghassan AlRegib

Computed Tomography Pulmonary Angiography (CTPA) is the reference standard for diagnosing pulmonary vascular diseases such as Pulmonary Embolism (PE) and Chronic Thromboembolic Pulmonary Hypertension (CTEPH). However, its reliance on…

Computer Vision and Pattern Recognition · Computer Science 2025-10-27 Ying Ming , Yue Lin , Longfei Zhao , Gengwan Li , Zuopeng Tan , Bing Li , Sheng Xie , Wei Song , Qiqi Xu

The fundamental problem with ultrasound-guided diagnosis is that the acquired images are often 2-D cross-sections of a 3-D anatomy, potentially missing important anatomical details. This limitation leads to challenges in ultrasound…

Image and Video Processing · Electrical Eng. & Systems 2024-09-17 Ang Nan Gu , Michael Tsang , Hooman Vaseli , Teresa Tsang , Purang Abolmaesumi

Coronary artery disease poses a significant global health challenge, often necessitating percutaneous coronary intervention (PCI) with stent implantation. Assessing stent apposition holds pivotal importance in averting and identifying PCI…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Xiaoyang Qin , Hao Huang , Shuaichen Lin , Xinhao Zeng , Kaizhi Cao , Renxiong Wu , Yuming Huang , Junqing Yang , Yong Liu , Gang Li , Guangming Ni