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Lung cancer is the leading cause of cancer-related mortality worldwide. Lung cancer screening (LCS) using annual low-dose computed tomography (CT) scanning has been proven to significantly reduce lung cancer mortality by detecting cancerous…

Uncontrolled cell division in the brain is what gives rise to brain tumors. If the tumor size increases by more than half, there is little hope for the patient's recovery. This emphasizes the need of rapid and precise brain tumor diagnosis.…

Image and Video Processing · Electrical Eng. & Systems 2025-03-11 Plabon Paul , Md. Nazmul Islam , Fazle Rafsani , Pegah Khorasani , Shovito Barua Soumma

Cardiovascular disorders account for nearly 1 in 3 deaths in the United States. Care for these disorders are often determined during visits to acute care facilities, such as hospitals. While the length of stay in these settings represents…

Signal Processing · Electrical Eng. & Systems 2019-08-20 Nathan C. Hurley , Erica S. Spatz , Harlan M. Krumholz , Roozbeh Jafari , Bobak J. Mortazavi

Neuroblastoma is a strongly heterogeneous cancer with very diverse clinical courses that may vary from spontaneous regression to fatal progression; an accurate patient's risk estimation at diagnosis is essential to design appropriate tumor…

Quantitative Methods · Quantitative Biology 2018-02-23 Valerio Maggio , Marco Chierici , Giuseppe Jurman , Cesare Furlanello

The recent advancements in deep learning have allowed for numerous applications in computed tomography (CT), with potential to improve diagnostic accuracy, speed of interpretation, and clinical efficiency. However, the deep learning…

Computer Vision and Pattern Recognition · Computer Science 2018-12-04 Hyunkwang Lee , Myeongchan Kim , Synho Do

Skin cancer, the most common human malignancy, is primarily diagnosed visually by physicians [1]. Classification with an automated method like CNN [2, 3] shows potential for challenging tasks [1]. By now, the deep convolutional neural…

Computer Vision and Pattern Recognition · Computer Science 2017-03-13 Wenhao Zhang , Liangcai Gao , Runtao Liu

Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed treatment decisions. Magnetic resonance imaging (MRI) is time demanding but can provide images that are considered gold…

Computer Vision and Pattern Recognition · Computer Science 2019-04-25 Albert Clèrigues , Sergi Valverde , Jose Bernal , Jordi Freixenet , Arnau Oliver , Xavier Lladó

Parkinson's disease is a neurodegenerative disease that can affect a person's movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson's disease by performing a clinical assessment of symptoms. However,…

Neurons and Cognition · Quantitative Biology 2018-11-16 Patrick Schwab , Walter Karlen

Acute lymphoblastic leukemia (ALL) is a prevalent hematological malignancy in both pediatric and adult populations. Early and accurate detection with precise subtyping is essential for guiding therapy. Conventional workflows are complex,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Md. Maruf , Md. Mahbubul Haque , Bishowjit Paul

Stroke is a major cause of death and permanent impairment, making it a major worldwide health concern. For prompt intervention and successful preventative tactics, early risk assessment is essential. To address this challenge, we used…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 A S M Ahsanul Sarkar Akib , Raduana Khawla , Abdul Hasib

In this paper, we propose a reservoir computing-based and directed graph analysis pipeline. The goal of this pipeline is to define an efficient brain representation for connectivity in stroke data derived from magnetic resonance imaging.…

Machine Learning · Computer Science 2025-01-28 Wojciech Ciezobka , Joan Falco-Roget , Cemal Koba , Alessandro Crimi

Ischemic stroke is a severe condition caused by the blockage of brain blood vessels, and can lead to the death of brain tissue due to oxygen deprivation. Thrombectomy has become a common treatment choice for ischemic stroke due to its…

Image and Video Processing · Electrical Eng. & Systems 2024-08-05 Caiwen Jiang , Tianyu Wang , Xiaodan Xing , Mianxin Liu , Guang Yang , Zhongxiang Ding , Dinggang Shen

Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large medical archive, where each image is associated with a diagnosis, efficient pathology detectors or classifiers can be trained with virtually…

Computer Vision and Pattern Recognition · Computer Science 2017-06-28 Gwenolé Quellec , Katia Charrière , Yassine Boudi , Béatrice Cochener , Mathieu Lamard

The point of care services and medication have become simpler with efficient consumer electronics devices in a smart healthcare system. Cardiovascular disease is a critical illness which causes heart failure, and early and prompt…

Computers and Society · Computer Science 2022-12-16 Nidhi Sinha , Teena Jangid , Amit M. Joshi , Saraju P. Mohanty

Non-contrast computed tomography (NCCT) is essential for rapid stroke diagnosis but is limited by low image contrast and signal to noise ratio. We address this challenge by leveraging DINOv3, a state-of-the-art self-supervised vision…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Donghao Zhang , Yimin Chen , Kauê TN Duarte , Taha Aslan , Mohamed AlShamrani , Brij Karmur , Yan Wan , Shengcai Chen , Bo Hu , Bijoy K Menon , Wu Qiu

In many sports, it is useful to analyse video of an athlete in competition for training purposes. In swimming, stroke rate is a common metric used by coaches; requiring a laborious labelling of each individual stroke. We show that using a…

Computer Vision and Pattern Recognition · Computer Science 2017-05-30 Brandon Victor , Zhen He , Stuart Morgan , Dino Miniutti

Northern Europe has the second highest mortality rate of melanoma globally. In 2020, the mortality rate of melanoma rose to 1.9 per 100 000 habitants. Melanoma prognosis is based on a pathologist's subjective visual analysis of the…

Image and Video Processing · Electrical Eng. & Systems 2023-03-13 Christopher Andreassen , Saul Fuster , Helga Hardardottir , Emiel A. M. Janssen , Kjersti Engan

Cardiovascular diseases represent a leading cause of mortality worldwide, necessitating accurate and early diagnosis for improved patient outcomes. Current diagnostic approaches for cardiac abnormalities often present challenges in clinical…

Signal Processing · Electrical Eng. & Systems 2025-11-11 Seyed Amir Latifi , Hassan Ghassemian , Maryam Imani

The leading cause of mortality and morbidity worldwide is cardiovascular disease (CVD), with coronary artery disease (CAD) being the largest sub-category. Unfortunately, myocardial infarction or stroke can manifest as the first symptom of…

Signal Processing · Electrical Eng. & Systems 2024-09-10 Matthew Fynn , Kayapanda Mandana , Javed Rashid , Sven Nordholm , Yue Rong , Goutam Saha

A long road trip is fun for drivers. However, a long drive for days can be tedious for a driver to accommodate stringent deadlines to reach distant destinations. Such a scenario forces drivers to drive extra miles, utilizing extra hours…

Computer Vision and Pattern Recognition · Computer Science 2026-01-19 ANK Zaman , Prosenjit Chatterjee , Rajat Sharma
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