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Cardiovascular disease causes high rates of mortality worldwide. Coronary artery calcium (CAC) scoring is a powerful tool to stratify the risk of atherosclerotic cardiovascular disease. Current scoring practices require time-intensive…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Lachlan Nguyen , Aidan Cousins , Arcot Sowmya , Hugh Dixson , Sonit Singh

Navigation and mobility are some of the major problems faced by visually impaired people in their daily lives. Advances in computer vision led to the proposal of some navigation systems. However, most of them require expensive and/or heavy…

Computer Vision and Pattern Recognition · Computer Science 2020-05-12 Fabricio Breve , Carlos Norberto Fischer

During the diagnosis of ischemic strokes, the Circle of Willis and its surrounding vessels are the arteries of interest. Their visualization in case of an acute stroke is often enabled by Computed Tomography Angiography (CTA). Still, the…

Image and Video Processing · Electrical Eng. & Systems 2022-04-27 Florian Thamm , Markus Jürgens , Oliver Taubmann , Aleksandra Thamm , Leonhard Rist , Hendrik Ditt , Andreas Maier

Brain tumors are a complex and potentially life-threatening medical condition that requires accurate diagnosis and timely treatment. In this paper, we present a machine learning-based system designed to assist healthcare professionals in…

Image and Video Processing · Electrical Eng. & Systems 2023-04-18 Belal Badawy , Romario Sameh Samir , Youssef Tarek , Mohammed Ahmed , Rana Ibrahim , Manar Ahmed , Mohamed Hassan

Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, display and…

Machine Learning · Computer Science 2020-11-13 André Pedersen , Marit Valla , Anna M. Bofin , Javier Pérez de Frutos , Ingerid Reinertsen , Erik Smistad

Alzheimer's Disease (AD) causes a continuous decline in memory, thinking, and judgment. Traditional diagnoses are usually based on clinical experience, which is limited by some realistic factors. In this paper, we focus on exploiting deep…

Image and Video Processing · Electrical Eng. & Systems 2023-03-14 Fangyu Zuo , Peiguang Jing , Jinglin Sun , Jizhong , Duan , Yong Ji , Yu Liu

The morbidity of scalp diseases is minuscule compared to other diseases, but the impact on the patient's life is enormous. It is common for people to experience scalp problems that include Dandruff, Psoriasis, Tinea-Capitis, Alopecia and…

Computer Vision and Pattern Recognition · Computer Science 2023-08-15 Hrishabh Tiwari , Jatin Moolchandani , Shamla Mantri

Collectively, lung cancer, breast cancer and melanoma was diagnosed in over 535,340 people out of which, 209,400 deaths were reported [13]. It is estimated that over 600,000 people will be diagnosed with these forms of cancer in 2015. Most…

Machine Learning · Computer Science 2015-09-29 Mohnish Chakravarti , Tanay Kothari

An estimated 300 million people worldwide suffer from asthma, and this number is expected to increase to 400 million by 2025. Approximately 250,000 people die prematurely each year from asthma out of which, almost all deaths are avoidable.…

Computers and Society · Computer Science 2018-04-13 Saksham Kukreja

Approximately 16 million Americans suffer from rosacea according to the National Rosacea Society. To increase rosacea awareness, automatic rosacea detection methods using deep learning and explainable statistical approaches are presented in…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Chengyu Yang , Chengjun Liu

More than 13 million people suffer from ischemic cerebral stroke worldwide each year. Thrombolytic treatment can reduce brain damage but has a narrow treatment window. Computed Tomography Perfusion imaging is a commonly used primary…

Image and Video Processing · Electrical Eng. & Systems 2021-04-22 Luca Tomasetti , Kjersti Engan , Mahdieh Khanmohammadi , Kathinka Dæhli Kurz

Stroke is among the top three causes of death worldwide, and accurate identification of stroke lesion boundaries is critical for diagnosis and treatment. Supervised deep learning methods have emerged as the leading solution for stroke…

Image and Video Processing · Electrical Eng. & Systems 2025-05-30 Tianyi Ren , Juampablo E. Heras Rivera , Hitender Oswal , Yutong Pan , William Henry , Sophie Walters , Mehmet Kurt

Stroke is a major cause of death and disability worldwide. Accurate outcome and evolution prediction has the potential to revolutionize stroke care by individualizing clinical decision-making leading to better outcomes. However, despite a…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Adam Marcus , Paul Bentley , Daniel Rueckert

Coronary heart disease, which is a form of cardiovascular disease (CVD), is the leading cause of death worldwide. The odds of survival are good if it is found or diagnosed early. The current report discusses a comparative approach to the…

Computer Vision and Pattern Recognition · Computer Science 2021-12-03 Kelvin Kwakye , Emmanuel Dadzie

Diabetes is an epidemic disease of the 21st century and is growing globally. Although, final diabetes treatments and cure are still on research phase, related complications of diabetes endanger life of diabetic patients. Diabetic coma which…

Human-Computer Interaction · Computer Science 2016-08-15 Vahid Hosseini

Clinical characterization and interpretation of respiratory sound symptoms have remained a challenge due to the similarities in the audio properties that manifest during auscultation in medical diagnosis. The misinterpretation and…

Systems and Control · Electrical Eng. & Systems 2021-10-18 Chinazunwa Uwaoma , Gunjan Mansingh

A key challenge in ischemic stroke diagnosis using medical imaging is the accurate localization of the occluded vessel. Current machine learning methods in focus primarily on lesion segmentation, with limited work on vessel localization. In…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Mohamed Hamad , Muhammad Khan , Tamer Khattab , Mohamed Mabrok

Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-related breathing disorder. It is caused by an increased upper airway resistance during sleep, which determines episodes of partial or complete interruption of airflow. The…

Machine Learning · Computer Science 2023-02-13 Andrea Bernardini , Andrea Brunello , Gian Luigi Gigli , Angelo Montanari , Nicola Saccomanno

Deep learning based disease detection and segmentation algorithms promise to improve many clinical processes. However, such algorithms require vast amounts of annotated training data, which are typically not available in the medical context…

Image and Video Processing · Electrical Eng. & Systems 2021-11-02 Moritz Platscher , Jonathan Zopes , Christian Federau

Cardiac arrhythmia is a prevalent and significant cause of morbidity and mortality among cardiac ailments. Early diagnosis is crucial in providing intervention for patients suffering from cardiac arrhythmia. Traditionally, diagnosis is…

Signal Processing · Electrical Eng. & Systems 2020-04-14 Sricharan Vijayarangan , Balamurali Murugesan , Vignesh R , Preejith SP , Jayaraj Joseph , Mohansankar Sivaprakasam
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