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Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced…

计算机视觉与模式识别 · 计算机科学 2021-01-26 Nilanjan Sinhababu , Monalisa Sarma , Debasis Samanta

Breast cancer is a serious disease that inflicts millions of people each year, and the number of cases is increasing. Early detection is the best way to reduce the impact of the disease. Researchers have developed many techniques to detect…

人工智能 · 计算机科学 2023-11-23 Mosab S. M. Farea , zhe chen

Brain tumor detection can make the difference between life and death. Recently, deep learning-based brain tumor detection techniques have gained attention due to their higher performance. However, obtaining the expected performance of such…

图像与视频处理 · 电气工程与系统科学 2022-02-22 Wessam M. Salama , Ahmed Shokry

A definitive diagnosis of a brain tumour is essential for enhancing treatment success and patient survival. However, it is difficult to manually evaluate multiple magnetic resonance imaging (MRI) images generated in a clinic. Therefore,…

神经与进化计算 · 计算机科学 2022-04-27 Amin Abdollahi Dehkordi , Mina Hashemi , Mehdi Neshat , Seyedali Mirjalili , Ali Safaa Sadiq

Abnormal development of tissues in the body as a result of swelling and morbid enlargement is known as a tumor. They are mainly classified as Benign and Malignant. Tumour in the brain is fatal as it may be cancerous, so it can feed on…

图像与视频处理 · 电气工程与系统科学 2022-08-30 Gopinath Balaji , Ranit Sen , Harsh Kirty

Accurate and interpretable classification of brain tumors from magnetic resonance imaging (MRI) is critical for effective diagnosis and treatment planning. This study presents an ensemble-based deep learning framework that combines…

图像与视频处理 · 电气工程与系统科学 2025-08-12 Melika Filvantorkaman , Mohsen Piri , Maral Filvan Torkaman , Ashkan Zabihi , Hamidreza Moradi

Intracranial tumors are groups of cells that usually grow uncontrollably. One out of four cancer deaths is due to brain tumors. Early detection and evaluation of brain tumors is an essential preventive medical step that is performed by…

图像与视频处理 · 电气工程与系统科学 2020-02-07 Zahra Sobhaninia , Safiyeh Rezaei , Nader Karimi , Ali Emami , Shadrokh Samavi

Automation of brain tumors in 3D magnetic resonance images (MRIs) is key to assess the diagnostic and treatment of the disease. In recent years, convolutional neural networks (CNNs) have shown improved results in the task. However, high…

图像与视频处理 · 电气工程与系统科学 2020-09-28 Laura Mora Ballestar , Veronica Vilaplana

Meningiomas represent the most prevalent form of primary brain tumors, comprising nearly one-third of all diagnosed cases. Accurate delineation of these tumors from MRI scans is crucial for guiding treatment strategies, yet remains a…

图像与视频处理 · 电气工程与系统科学 2025-10-27 Mohammad Mahdi Danesh Pajouh , Sara Saeedi

Breast cancer is the most common cancer in the world and the most prevalent cause of death among women worldwide. Nevertheless, it is also one of the most treatable malignancies if detected early. In this paper, a deep convolutional neural…

计算机视觉与模式识别 · 计算机科学 2021-12-23 Hussin Ragb , Redha Ali , Elforjani Jera , Nagi Buaossa

Obesity is a critical global health issue driven by dietary, physiological, and environmental factors, and is strongly associated with chronic diseases such as diabetes, cardiovascular disorders, and cancer. Machine learning has emerged as…

机器学习 · 计算机科学 2026-05-11 Towhidul Islam , Md Sumon Ali

When diagnosing the brain tumor, doctors usually make a diagnosis by observing multimodal brain images from the axial view, the coronal view and the sagittal view, respectively. And then they make a comprehensive decision to confirm the…

图像与视频处理 · 电气工程与系统科学 2020-12-22 Yi Ding , Wei Zheng , Guozheng Wu , Ji Geng , Mingsheng Cao , Zhiguang Qin

Brain tumors pose a serious health threat due to their rapid growth and potential for metastasis. While medical imaging has advanced significantly, accurately identifying and characterizing these tumors remains a challenge. This study…

图像与视频处理 · 电气工程与系统科学 2024-11-05 Mahin Mohammadi , Saman Jamshidi

Brain tumors are collections of abnormal cells that can develop into masses or clusters. Because they have the potential to infiltrate other tissues, they pose a risk to the patient. The main imaging technique used, MRI, may be able to…

图像与视频处理 · 电气工程与系统科学 2023-09-22 Razia Sultana Misu

Brain tumors pose a significant global health challenge due to their high prevalence and mortality rates across all age groups. Detecting brain tumors at an early stage is crucial for effective treatment and patient outcomes. This study…

图像与视频处理 · 电气工程与系统科学 2023-10-30 Jonayet Miah , Duc M Cao , Md Abu Sayed3 , Md Siam Taluckder , Md Sabbirul Haque , Fuad Mahmud

One of the most important tasks in medical image processing is the brain's whole tumor segmentation. It assists in quicker clinical assessment and early detection of brain tumors, which is crucial for lifesaving treatment procedures of…

计算机视觉与模式识别 · 计算机科学 2020-09-15 Apurva Pandya , Catherine Samuel , Nisargkumar Patel , Vaibhavkumar Patel , Thangarajah Akilan

Coronary artery disease (CAD) is one of the most common cardiac diseases worldwide and causes disability and economic burden. It is the world's leading and most serious cause of mortality, with approximately 80% of deaths reported in low-…

机器学习 · 计算机科学 2022-10-28 Anas Maach , Jamila Elalami , Noureddine Elalami , El Houssine El Mazoudi

The growth of abnormal cells in the brain's tissue causes brain tumors. Brain tumors are considered one of the most dangerous disorders in children and adults. It develops quickly, and the patient's survival prospects are slim if not…

Brain cancer can be very fatal, but chances of survival increase through early detection and treatment. Doctors use Magnetic Resonance Imaging (MRI) to detect and locate tumors in the brain, and very carefully analyze scans to segment brain…

计算机视觉与模式识别 · 计算机科学 2018-11-08 Ryan Sherman

A brain stroke occurs when blood flow to a part of the brain is disrupted, leading to cell death. Traditional stroke diagnosis methods, such as CT scans and MRIs, are costly and time-consuming. This study proposes a weighted voting ensemble…

机器学习 · 计算机科学 2025-04-22 Yao Zhiwan , Reza Zarrab , Jean Dubois