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We present a new instance segmentation approach tailored to biological images, where instances may correspond to individual cells, organisms or plant parts. Unlike instance segmentation for user photographs or road scenes, in biological…

计算机视觉与模式识别 · 计算机科学 2020-04-24 Victor Kulikov , Victor Lempitsky

Segmentation of cardiac magnetic resonance images (MRI) is crucial for the analysis and assessment of cardiac function, helping to diagnose and treat various cardiovascular diseases. Most recent techniques rely on deep learning and usually…

计算机视觉与模式识别 · 计算机科学 2025-05-08 Bruno Viti , Franz Thaler , Kathrin Lisa Kapper , Martin Urschler , Martin Holler , Elias Karabelas

Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are an effective tool for studying cardiac function and disease, and hold promise for screening drug effects on human tissue. Changes to motion patterns in these cells…

组织与器官 · 定量生物学 2024-07-09 Henrik Finsberg , Verena Charwat , Kevin Healy , Samuel Wall

Cardiac Magnetic Resonance Imaging (CMR) is the gold standard for diagnosing cardiovascular diseases. Clinical diagnoses predominantly rely on magnitude-only Digital Imaging and Communications in Medicine (DICOM) images, omitting crucial…

图像与视频处理 · 电气工程与系统科学 2024-07-30 Ruochen Li , Jiazhen Pan , Youxiang Zhu , Juncheng Ni , Daniel Rueckert

Background: Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardiography (2D-STE)…

机器学习 · 统计学 2021-05-21 Jingyi Zhang , Huolan Zhu , Yongkai Chen , Chenguang Yang , Huimin Cheng , Yi Li , Wenxuan Zhong , Fang Wang

Women are underdiagnosed and undertreated for cardiovascular disease. Automatic quantification of breast arterial calcification on screening mammography can identify women at risk for cardiovascular disease and enable earlier treatment and…

Accurate prediction of cardiovascular diseases remains imperative for early diagnosis and intervention, necessitating robust and precise predictive models. Recently, there has been a growing interest in multi-modal learning for uncovering…

计算机视觉与模式识别 · 计算机科学 2024-11-12 Francesco Girlanda , Olga Demler , Bjoern Menze , Neda Davoudi

Magnetic Resonance Imaging (MRI) has evolved as a clinical standard-of-care imaging modality for cardiac morphology, function assessment, and guidance of cardiac interventions. All these applications rely on accurate extraction of the…

计算机视觉与模式识别 · 计算机科学 2016-11-07 Shusil Dangi , Nathan Cahill , Cristian A. Linte

Determination of fundamental mechanisms of disease often hinges on histopathology visualization and quantitative image analysis. Currently, the analysis of multi-channel fluorescence tissue images is primarily achieved by manual…

Structural alterations of the midsagittal corpus callosum (midCC) have been associated with a wide range of brain disorders. The midCC is visible on most MRI contrasts and in many acquisitions with a limited field-of-view. Here, we present…

In cardiac cells, structural organization is an important indicator of cell maturity and healthy function. Healthy cardiomyocytes exhibit well-aligned morphology with densely packed and organized sarcomeres. Immature or diseased…

定量方法 · 定量生物学 2025-02-03 Saeed Mohammadzadeh , Emma Lejeune

Coronary artery calcium (CAC) is a significant marker of atherosclerosis and cardiovascular events. In this work we present a system for the automatic quantification of calcium score in ECG-triggered non-contrast enhanced cardiac computed…

计算机视觉与模式识别 · 计算机科学 2017-10-10 G. Santini , D. Della Latta , N. Martini , G. Valvano , A. Gori , A. Ripoli , C. L. Susini , L. Landini , D. Chiappino

Early detection of cardiac dysfunction through routine screening is vital for diagnosing cardiovascular diseases. An important metric of cardiac function is the left ventricular ejection fraction (EF), where lower EF is associated with…

图像与视频处理 · 电气工程与系统科学 2023-09-08 Ece Ozkan , Thomas M. Sutter , Yurong Hu , Sebastian Balzer , Julia E. Vogt

Medical image segmentation plays an irreplaceable role in computer-assisted diagnosis, treatment planning, and following-up. Collecting and annotating a large-scale dataset is crucial to training a powerful segmentation model, but producing…

图像与视频处理 · 电气工程与系统科学 2022-03-07 Xiangde Luo , Minhao Hu , Wenjun Liao , Shuwei Zhai , Tao Song , Guotai Wang , Shaoting Zhang

Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) can directly visualize nonviable myocardium with hyperenhanced intensities with respect to normal myocardium. For heart attack patients, it is crucial to facilitate the…

图像与视频处理 · 电气工程与系统科学 2022-05-24 Dong Wei , Ying Sun , Sim-Heng Ong , Ping Chai , Lynette L Teo , Adrian F Low

Coronary angiography remains the gold standard for diagnosis of coronary artery disease, the most common cause of death worldwide. While this procedure is performed more than 2 million times annually, there remain few methods for fast and…

图像与视频处理 · 电气工程与系统科学 2023-10-25 Tom Liu , Hui Lin , Aggelos K. Katsaggelos , Adrienne Kline

A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization therapy. Delayed enhancement-MRI or DE-MRI, which is performed…

Automatic and accurate segmentation of the ventricles and myocardium from multi-sequence cardiac MRI (CMR) is crucial for the diagnosis and treatment management for patients suffering from myocardial infarction (MI). However, due to the…

图像与视频处理 · 电气工程与系统科学 2019-10-29 Jiexiang Wang , Hongyu Huang , Chaoqi Chen , Wenao Ma , Yue Huang , Xinghao Ding

Heart is one of the vital organs of human body. A minor dysfunction of heart even for a short time interval can be fatal, therefore, efficient monitoring of its physiological state is essential for the patients with cardiovascular diseases.…

图像与视频处理 · 电气工程与系统科学 2019-11-22 Shakeel Muhammad Ibrahim , Muhammad Sohail Ibrahim , Muhammad Usman , Imran Naseem , Muhammad Moinuddin

Histopathology image analysis plays a critical role in cancer diagnosis and treatment. To automatically segment the cancerous regions, fully supervised segmentation algorithms require labor-intensive and time-consuming labeling at the pixel…

图像与视频处理 · 电气工程与系统科学 2019-08-29 Gang Xu , Zhigang Song , Zhuo Sun , Calvin Ku , Zhe Yang , Cancheng Liu , Shuhao Wang , Jianpeng Ma , Wei Xu