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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

Brain tumors, regardless of being benign or malignant, pose considerable health risks, with malignant tumors being more perilous due to their swift and uncontrolled proliferation, resulting in malignancy. Timely identification is crucial…

图像与视频处理 · 电气工程与系统科学 2025-06-10 Shuvashis Sarker

The opaque nature of deep learning models remains a significant barrier to their clinical adoption in medical imaging. This paper presents a multimodal explainability framework that bridges the gap between convolutional neural network (CNN)…

计算机视觉与模式识别 · 计算机科学 2026-05-08 Paul Valery Nguezet , Elie Tagne Fute , Yusuf Brima , Benoit Martin Azanguezet , Marcellin Atemkeng

Brain tumors represent one of the most critical neurological conditions, where early and accurate diagnosis is directly correlated with patient survival rates. Manual interpretation of Magnetic Resonance Imaging (MRI) scans is…

计算机视觉与模式识别 · 计算机科学 2026-04-24 Chinedu Emmanuel Mbonu , Tochukwu Sunday Belonwu , Okwuchukwu Ejike Chukwuogo , Kenechukwu Sylvanus Anigbogu

This study explores the integration of multiple Explainable AI (XAI) techniques to enhance the interpretability of deep learning models for brain tumour detection. A custom Convolutional Neural Network (CNN) was developed and trained on the…

人工智能 · 计算机科学 2026-02-06 Patrick McGonagle , William Farrelly , Kevin Curran

Brain tumors are serious health problems that require early diagnosis due to their high mortality rates. Diagnosing tumors by examining Magnetic Resonance Imaging (MRI) images is a process that requires expertise and is prone to error.…

计算机视觉与模式识别 · 计算机科学 2026-04-10 Mustafa Yurdakul , Şakir Taşdemir

This study deliberates on the application of advanced AI techniques for brain tumor classification through MRI, wherein the training includes the present best deep learning models to enhance diagnosis accuracy and the potential of usability…

Tumors can manifest in various forms and in different areas of the human body. Brain tumors are specifically hard to diagnose and treat because of the complexity of the organ in which they develop. Detecting them in time can lower the…

图像与视频处理 · 电气工程与系统科学 2024-03-18 Antonio Curci , Andrea Esposito

The healthcare industry has been revolutionized by the convergence of Artificial Intelligence of Medical Things (AIoMT), allowing advanced data-driven solutions to improve healthcare systems. With the increasing complexity of Artificial…

计算机视觉与模式识别 · 计算机科学 2024-03-08 Al Amin , Kamrul Hasan , Saleh Zein-Sabatto , Deo Chimba , Imtiaz Ahmed , Tariqul Islam

In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach. One of the differences of our proposal with respect to previous…

图像与视频处理 · 电气工程与系统科学 2024-02-12 Francisco Javier Díaz-Pernas , Mario Martínez-Zarzuela , Míriam Antón-Rodríguez , David González-Ortega

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…

图像与视频处理 · 电气工程与系统科学 2023-04-18 Belal Badawy , Romario Sameh Samir , Youssef Tarek , Mohammed Ahmed , Rana Ibrahim , Manar Ahmed , Mohamed Hassan

Recent brain tumor classification methods often report high accuracy but rely on deep, over-parameterized architectures with limited interpretability, making it difficult to determine whether predictions are driven by tumor-relevant…

图像与视频处理 · 电气工程与系统科学 2026-03-24 Rajan Das Gupta , Md Imrul Hasan Showmick , Lei Wei , Mushfiqur Rahman Abir , Shanjida Akter , Md. Yeasin Rahat , Md. Jakir Hossen

Classifying brain tumors using magnetic resonance imaging (MRI) is crucial for early diagnosis and treatment; however, tumor heterogeneity and a dearth of annotated datasets restrict the use of supervised deep learning approaches. In this…

The early and accurate classification of brain tumors is crucial for guiding effective treatment strategies and improving patient outcomes. This study presents BrainFusion, a significant advancement in brain tumor analysis using magnetic…

计算机视觉与模式识别 · 计算机科学 2025-09-30 Walid Houmaidi , Youssef Sabiri , Salmane El Mansour Billah , Amine Abouaomar

Deep Learning is the newest and the current trend of the machine learning field that paid a lot of the researchers' attention in the recent few years. As a proven powerful machine learning tool, deep learning was widely used in several…

图像与视频处理 · 电气工程与系统科学 2020-01-27 Ali Mohammad Alqudah , Hiam Alquraan , Isam Abu Qasmieh , Amin Alqudah , Wafaa Al-Sharu

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

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

Brain tumors are masses or abnormal growths of cells within the brain or the central spinal canal with symptoms such as headaches, seizures, weakness or numbness in the arms or legs, changes in personality or behaviour, nausea, vomiting,…

图像与视频处理 · 电气工程与系统科学 2023-01-09 Muyiwa Babayomi , Oluwatosin Atinuke Olagbaju , Abdulrasheed Adedolapo Kadiri

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…

A brain tumor, whether benign or malignant, can potentially be life threatening and requires painstaking efforts in order to identify the type, origin and location, let alone cure one. Manual segmentation by medical specialists can be…

图像与视频处理 · 电气工程与系统科学 2023-05-02 Ayan Gupta , Mayank Dixit , Vipul Kumar Mishra , Attulya Singh , Atul Dayal
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