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Background: Intracranial bleeding (IB) is a life-threatening condition caused by traumatic brain injuries, including epidural, subdural, subarachnoid, and intraparenchymal hemorrhages. Rapid and accurate detection is crucial to prevent…

In this paper we discuss a new method for detecting leukemia in microscopic blood smear images using deep neural networks to diagnose leukemia early in blood. leukemia is considered one of the most dangerous mortality causes for a human…

Image and Video Processing · Electrical Eng. & Systems 2023-01-10 Abdelmageed Ahmed , Alaa Nagy , Ahmed Kamal , Daila Farghl

There is a need for automatic diagnosis of certain diseases from medical images that could help medical practitioners for further assessment towards treating the illness. Alzheimers disease is a good example of a disease that is often…

Image and Video Processing · Electrical Eng. & Systems 2019-01-30 GuruRaj Awate

Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions. As such, it helps clinicians to decide on the optimal reperfusion treatment. In perfusion CT imaging,…

Image and Video Processing · Electrical Eng. & Systems 2022-04-27 Ezequiel de la Rosa , Diana M. Sima , Bjoern Menze , Jan S. Kirschke , David Robben

Alzheimer's disease (AD) is one of the most common public health issues the world is facing today. This disease has a high prevalence primarily in the elderly accompanying memory loss and cognitive decline. AD detection is a challenging…

Image and Video Processing · Electrical Eng. & Systems 2022-04-04 Zahraa Sh. Aaraji , Hawraa H. Abbas

Stroke is a major cause of mortality and long--term disability in the world. Predictive outcome models in stroke are valuable for personalized treatment, rehabilitation planning and in controlled clinical trials. In this paper we design a…

Applications · Statistics 2016-02-24 Abhishek Sengupta , Vaibhav Rajan , Sakyajit Bhattacharya , G R K Sarma

Heart disease is the leading cause of death, and experts estimate that approximately half of all heart attacks and strokes occur in people who have not been flagged as "at risk." Thus, there is an urgent need to improve the accuracy of…

Machine Learning · Computer Science 2018-08-23 Nathalie-Sofia Tomov , Stanimire Tomov

Portable CT scanners enable early stroke detection in prehospital and low-resource settings but require reduced radiation doses, introducing noise that degrades diagnostic reliability. We present a deep learning framework for stroke…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Rhea Ghosal , Ronok Ghosal , Eileen Lou

Cardiovascular diseases are one of the most common causes of death in the world. Prevention, knowledge of previous cases in the family, and early detection is the best strategy to reduce this fact. Different machine learning approaches to…

Machine Learning · Computer Science 2019-10-07 Jefferson L. P. Lima , David Macêdo , Cleber Zanchettin

Coronary heart disease (CHD) is the leading cause of adult death in the United States and worldwide, and for which the coronary angiography procedure is the primary gateway for diagnosis and clinical management decisions. The…

Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke and is characterized by a high incidence of disability. Accurate segmentation of the ICH region and prognosis prediction are critically important for developing and refining…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Xinlei Yu , Ahmed Elazab , Ruiquan Ge , Hui Jin , Xinchen Jiang , Gangyong Jia , Qing Wu , Qinglei Shi , Changmiao Wang

Acute lymphoblastic leukemia (ALL) is a form of blood cancer that affects the white blood cells. ALL constitutes approximately 25% of pediatric cancers. Early diagnosis and treatment of ALL are crucial for improving patient outcomes. The…

Image and Video Processing · Electrical Eng. & Systems 2024-07-16 Dimitris Papaioannou , Ioannis Christou , Nikos Anagnou , Aristotelis Chatziioannou

Myocardial infarction is the leading cause of death worldwide. In this paper, we design domain-inspired neural network models to detect myocardial infarction. First, we study the contribution of various leads. This systematic analysis,…

Machine Learning · Computer Science 2021-01-27 Arjun Gupta , E. A. Huerta , Zhizhen Zhao , Issam Moussa

Heart disease is a serious worldwide health issue because it claims the lives of many people who might have been treated if the disease had been identified earlier. The leading cause of death in the world is cardiovascular disease, usually…

Machine Learning · Computer Science 2024-09-10 Akua Sekyiwaa Osei-Nkwantabisa , Redeemer Ntumy

Given the current social distance restrictions across the world, most individuals now use social media as their major medium of communication. Millions of people suffering from mental diseases have been isolated due to this, and they are…

Machine Learning · Computer Science 2022-07-05 Iqra Ameer , Muhammad Arif , Grigori Sidorov , Helena Gòmez-Adorno , Alexander Gelbukh

Coronary heart disease (CHD) caused by hardening of artery walls due to cholesterol known as atherosclerosis is responsible for large number of deaths world-wide. The disease progression is slow, asymptomatic and may lead to sudden cardiac…

Machine Learning · Computer Science 2015-02-03 V. Sree Hari Rao , M. Naresh Kumar

Eye is the essential sense organ for vision function. Due to the fact that certain eye disorders might result in vision loss, it is essential to diagnose and treat eye diseases early on. By identifying common eye illnesses and performing an…

Computer Vision and Pattern Recognition · Computer Science 2023-07-21 Tareq Babaqi , Manar Jaradat , Ayse Erdem Yildirim , Saif H. Al-Nimer , Daehan Won

Acute stroke demands prompt diagnosis and treatment to achieve optimal patient outcomes. However, the intricate and irregular nature of clinical data associated with acute stroke, particularly blood pressure (BP) measurements, presents…

Human-Computer Interaction · Computer Science 2024-07-24 Jaeyoung Kim , Sihyeon Lee , Hyeon Jeon , Keon-Joo Lee , Hee-Joon Bae , Bohyoung Kim , Jinwook Seo

Acute Coronary Syndrome (ACS) is a syndrome caused by a decrease in blood flow in the coronary arteries. The ACS is usually related to coronary thrombosis and is primarily caused by plaque rupture followed by plaque erosion and calcified…

Computer Vision and Pattern Recognition · Computer Science 2020-05-22 Tae Joon Jun , Soo-Jin Kang , June-Goo Lee , Jihoon Kweon , Wonjun Na , Daeyoun Kang , Dohyeun Kim , Daeyoung Kim , Young-Hak Kim