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Background Brain tumours represent the highest cause of mortality in the paediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging and spectroscopy. Survival biomarkers are challenging to identify…

A brain tumour is a mass or cluster of abnormal cells in the brain, which has the possibility of becoming life-threatening because of its ability to invade neighbouring tissues and also form metastases. An accurate diagnosis is essential…

Image and Video Processing · Electrical Eng. & Systems 2022-01-28 Soumick Chatterjee , Faraz Ahmed Nizamani , Andreas Nürnberger , Oliver Speck

Brain tumor detection and classification are critical tasks in medical image analysis, particularly in early-stage diagnosis, where accurate and timely detection can significantly improve treatment outcomes. In this study, we apply various…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Alice Oh , Inyoung Noh , Jian Choo , Jihoo Lee , Justin Park , Kate Hwang , Sanghyeon Kim , Soo Min Oh

The diagnosis of brain tumours is an extremely sensitive and complex clinical task that must rely upon information gathered through non-invasive techniques. One such technique is magnetic resonance, in the modalities of imaging or…

Image and Video Processing · Electrical Eng. & Systems 2025-03-13 Carlos Arizmendi , Alfredo Vellido , Enrique Romero

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…

Image and Video Processing · Electrical Eng. & Systems 2024-03-18 Antonio Curci , Andrea Esposito

Abnormal growth of cells in the brain and its surrounding tissues is known as a brain tumor. There are two types, one is benign (non-cancerous) and another is malignant (cancerous) which may cause death. The radiologists' ability to…

Image and Video Processing · Electrical Eng. & Systems 2023-10-05 Abu Kaisar Mohammad Masum , Nusrat Badhon , S. M. Saiful Islam Badhon , Nushrat Jahan Ria , Sheikh Abujar , Muntaser Mansur Syed , Naveed Mahmud

This study presents a convolutional neural network (CNN)-based approach for the multi-class classification of brain tumors using magnetic resonance imaging (MRI) scans. We utilize a publicly available dataset containing MRI images…

Image and Video Processing · Electrical Eng. & Systems 2025-05-07 Natnael Alemayehu

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…

Image and Video Processing · Electrical Eng. & Systems 2020-01-27 Ali Mohammad Alqudah , Hiam Alquraan , Isam Abu Qasmieh , Amin Alqudah , Wafaa Al-Sharu

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,…

Neural and Evolutionary Computing · Computer Science 2022-04-27 Amin Abdollahi Dehkordi , Mina Hashemi , Mehdi Neshat , Seyedali Mirjalili , Ali Safaa Sadiq

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…

Image and Video Processing · Electrical Eng. & Systems 2022-10-26 Al-Akhir Nayan , Ahamad Nokib Mozumder , Md. Rakibul Haque , Fahim Hossain Sifat , Khan Raqib Mahmud , Abul Kalam Al Azad , Muhammad Golam Kibria

The brain tumor is the most aggressive kind of tumor and can cause low life expectancy if diagnosed at the later stages. Manual identification of brain tumors is tedious and prone to errors. Misdiagnosis can lead to false treatment and thus…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Dmytro Filatov , Ghulam Nabi Ahmad Hassan Yar

Brain tumor is a life-threatening problem and hampers the normal functioning of the human body. The average five-year relative survival rate for malignant brain tumors is 35.6 percent. For proper diagnosis and efficient treatment planning,…

Image and Video Processing · Electrical Eng. & Systems 2024-07-16 Vidhyapriya Ranganathan , Celshiya Udaiyar , Jaisree Jayanth , Meghaa P , Srija B , Uthra S

Diagnosing Brain Tumor with the aid of Magnetic Resonance Imaging (MRI) has gained enormous prominence over the years, primarily in the field of medical science. Detection and/or partitioning of brain tumors solely with the aid of MR…

Image and Video Processing · Electrical Eng. & Systems 2020-11-19 Md. Abu Bakr Siddique , Shadman Sakib , Mohammad Mahmudur Rahman Khan , Abyaz Kader Tanzeem , Madiha Chowdhury , Nowrin Yasmin

\hspace{2mm} Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique capabilities including noninvasive probing of tissue microstructure and structural connectivity. It is widely used for clinical assessment of…

Image and Video Processing · Electrical Eng. & Systems 2025-12-30 Davood Karimi , Simon K. Warfield

This study explores the application of deep learning techniques in the automated detection and segmentation of brain tumors from MRI scans. We employ several machine learning models, including basic logistic regression, Convolutional Neural…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Jack Krolik , Jake Lynn , John Henry Rudden , Dmytro Vremenko

Imaging biomarkers in neuro-oncology are used for diagnosis, prognosis and treatment response monitoring. Magnetic resonance imaging is typically used throughout the patient pathway because routine structural imaging provides detailed…

Quantitative Methods · Quantitative Biology 2019-10-21 Thomas Booth

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…

Image and Video Processing · Electrical Eng. & Systems 2022-08-30 Gopinath Balaji , Ranit Sen , Harsh Kirty

Brain tumors are among the deadliest diseases in the world. Magnetic Resonance Imaging (MRI) is one of the most effective ways to detect brain tumors. Accurate detection of brain tumors based on MRI scans is critical, as it can potentially…

Computer Vision and Pattern Recognition · Computer Science 2024-08-02 Xiaoyi Liu , Zhuoyue Wang

Magnetic Resonance Imaging (MRI) is a principal diagnostic approach used in the field of radiology to create images of the anatomical and physiological structure of patients. MRI is the prevalent medical imaging practice to find…

Computer Vision and Pattern Recognition · Computer Science 2021-06-16 Yusuf Brima , Mossadek Hossain Kamal Tushar , Upama Kabir , Tariqul Islam

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…

Image and Video Processing · Electrical Eng. & Systems 2023-09-22 Razia Sultana Misu
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