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Gliomas are the most prevalent type of primary brain tumors, and their accurate segmentation from MRI is critical for diagnosis, treatment planning, and longitudinal monitoring. However, the scarcity of high-quality annotated imaging data…

Breast cancer histopathology image classification is critical for early detection and improved patient outcomes. 1 This study introduces a novel approach leveraging EfficientNetV2 models, to improve feature extraction and focus on relevant…

Image and Video Processing · Electrical Eng. & Systems 2025-05-14 Naren Sengodan

Glioblastoma, the most aggressive primary brain tumor, poses a severe clinical challenge due to its diffuse microscopic infiltration, which remains largely undetected on standard MRI. As a result, current radiotherapy planning employs a…

Gliomas are brain tumor types that have a high mortality rate which means early and accurate diagnosis is important for therapeutic intervention for the tumors. To address this difficulty, the proposed research will develop a hybrid deep…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Pandiyaraju V , Sreya Mynampati , Abishek Karthik , Poovarasan L , D. Saraswathi

Glioma is one of the most common and aggressive types of primary brain tumors. The accurate segmentation of subcortical brain structures is crucial to the study of gliomas in that it helps the monitoring of the progression of gliomas and…

Image and Video Processing · Electrical Eng. & Systems 2018-03-02 Lele Chen , Yue Wu , Adora M. DSouza , Anas Z. Abidin , Axel Wismuller , Chenliang Xu

Brain tumors pose significant health challenges worldwide, with glioblastoma being one of the most aggressive forms. Accurate determination of the O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status is crucial for…

Image and Video Processing · Electrical Eng. & Systems 2023-10-10 Dimitrios Kollias , Karanjot Vendal , Priyanka Gadhavi , Solomon Russom

Gliomas are the most common malignant brain tumourswith intrinsic heterogeneity. Accurate segmentation of gliomas and theirsub-regions on multi-parametric magnetic resonance images (mpMRI)is of great clinical importance, which defines…

Image and Video Processing · Electrical Eng. & Systems 2019-11-21 Shuo Wang , Chengliang Dai , Yuanhan Mo , Elsa Angelini , Yike Guo , Wenjia Bai

Gliomas, a kind of brain tumor characterized by high mortality, present substantial diagnostic challenges in low- and middle-income countries, particularly in Sub-Saharan Africa. This paper introduces a novel approach to glioma segmentation…

Glioma is a common type of brain tumor, and accurate detection of it plays a vital role in the diagnosis and treatment process. Despite advances in medical image analyzing, accurate tumor segmentation in brain magnetic resonance (MR) images…

Image and Video Processing · Electrical Eng. & Systems 2020-02-27 Fateme Mostafaie , Reihaneh Teimouri , Zahra Nabizadeh , Nader Karimi , Shadrokh Samavi

Detection of brain tumor using a segmentation based approach is critical in cases, where survival of a subject depends on an accurate and timely clinical diagnosis. Gliomas are the most commonly found tumors having irregular shape and…

Computer Vision and Pattern Recognition · Computer Science 2018-04-16 Saddam Hussain , Syed Muhammad Anwar , Muhammad Majid

Glioblastoma Multiforme is a high grade, very aggressive, brain tumor, with patients having a poor prognosis. Lower grade gliomas are less aggressive, but they can evolve into higher grade tumors over time. Patient management and treatment…

Computer Vision and Pattern Recognition · Computer Science 2018-11-01 Sergio Pereira , Raphael Meier , Victor Alves , Mauricio Reyes , Carlos A. Silva

Background: Glioma is the most common brain malignant tumor, with a high morbidity rate and a mortality rate of more than three percent, which seriously endangers human health. The main method of acquiring brain tumors in the clinic is MRI.…

Artificial Intelligence · Computer Science 2021-07-27 Xi Guan , Guang Yang , Jianming Ye , Weiji Yang , Xiaomei Xu , Weiwei Jiang , Xiaobo Lai

Glioma constitutes 80% of malignant primary brain tumors and is usually classified as HGG and LGG. The LGG tumors are less aggressive, with slower growth rate as compared to HGG, and are responsive to therapy. Tumor biopsy being challenging…

Computer Vision and Pattern Recognition · Computer Science 2019-03-25 Subhashis Banerjee , Sushmita Mitra , Francesco Masulli , Stefano Rovetta

Glioblastoma (GBM) is an aggressive brain tumor in which IDH mutation status is a key prognostic biomarker, but traditional testing requires invasive biopsies, emphasizing the need for non-invasive approaches. In this multi-center study, we…

Gliomas are the most common primary brain tumors, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential. Volumetric assessment of tumor volume with manual…

Computational Engineering, Finance, and Science · Computer Science 2011-03-10 Jan Egger , Miriam H. A. Bauer , Daniela Kuhnt , Christoph Kappus , Barbara Carl , Bernd Freisleben , Christopher Nimsky

Early detection of brain tumors through magnetic resonance imaging (MRI) is essential for timely treatment, yet access to diagnostic facilities remains limited in remote areas. Gliomas, the most common primary brain tumors, arise from the…

Image and Video Processing · Electrical Eng. & Systems 2024-12-11 Khush Mendiratta , Shweta Singh , Pratik Chattopadhyay

Background: Brain tumor segmentation has a significant impact on the diagnosis and treatment of brain tumors. Accurate brain tumor segmentation remains challenging due to their irregular shapes, vague boundaries, and high variability.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-07 Zhanyuan Jia , Ni Yao , Danyang Sun , Chuang Han , Yanting Li , Jiaofen Nan , Fubao Zhu , Chen Zhao , Weihua Zhou

Brain tumor diagnosis is a challenging task for clinicians in the modern world. Among the major reasons for cancer-related death is the brain tumor. Gliomas, a category of central nervous system (CNS) tumors, encompass diverse subregions.…

Image and Video Processing · Electrical Eng. & Systems 2026-03-10 Kiranmayee Janardhan , Christy Bobby T

Gliomas are among the most aggressive and deadly brain tumors. This paper details the proposed Deep Neural Network architecture for brain tumor segmentation from Magnetic Resonance Images. The architecture consists of a cascade of three…

Image and Video Processing · Electrical Eng. & Systems 2021-01-05 Carlos A. Silva , Adriano Pinto , Sérgio Pereira , Ana Lopes