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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…

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

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

Gliomas are brain tumors composed of different highly heterogeneous histological subregions. Image analysis techniques to identify relevant tumor substructures have high potential for improving patient diagnosis, treatment and prognosis.…

Image and Video Processing · Electrical Eng. & Systems 2022-07-18 José Gerardo Suárez-García Javier Miguel Hernández-López , Eduardo Moreno-Barbosa , Benito de Celis-Alonso

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…

Image and Video Processing · Electrical Eng. & Systems 2023-05-02 Ayan Gupta , Mayank Dixit , Vipul Kumar Mishra , Attulya Singh , Atul Dayal

The glioblastoma multiforme is the most common malignant primary brain tumor and is one of the highest malignant human neoplasms. During the course of disease, the evaluation of tumor volume is an essential part of the clinical follow-up.…

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

Five different threshold segmentation based approaches have been reviewed and compared over here to extract the tumor from set of brain images. This research focuses on the analysis of image segmentation methods, a comparison of five…

Computer Vision and Pattern Recognition · Computer Science 2015-03-10 Muhammad Ali Qadar , Yan Zhaowen

Brain tumor segmentation is a fundamental step in assessing a patient's cancer progression. However, manual segmentation demands significant expert time to identify tumors in 3D multimodal brain MRI scans accurately. This reliance on manual…

Image and Video Processing · Electrical Eng. & Systems 2024-05-07 Fadillah Maani , Anees Ur Rehman Hashmi , Numan Saeed , Mohammad Yaqub

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

Segmentation is crucial for brain gliomas as it delineates the glioma s extent and location, aiding in precise treatment planning and monitoring, thus improving patient outcomes. Accurate segmentation ensures proper identification of the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Kiranmayee Janardhan , Vinay Martin DSa Prabhu , T. Christy Bobby

Tumor segmentation from magnetic resonance imaging (MRI) data is an important but time consuming manual task performed by medical experts. Automating this process is a challenging task because of the high diversity in the appearance of…

Computer Vision and Pattern Recognition · Computer Science 2013-12-24 Sudipta Roy , Sanjay Nag , Indra Kanta Maitra , Samir Kumar Bandyopadhyay

Glioma is the most common and aggressive brain tumor. Magnetic resonance imaging (MRI) plays a vital role to evaluate tumors for the arrangement of tumor surgery and the treatment of subsequent procedures. However, the manual segmentation…

Image and Video Processing · Electrical Eng. & Systems 2022-03-23 Wenbo Zhang , Guang Yang , He Huang , Weiji Yang , Xiaomei Xu , Yongkai Liu , Xiaobo Lai

The brain is a complex organ controlling cognitive process and physical functions. Tumors in the brain are accelerated cell growths affecting the normal function and processes in the brain. MRI scans provides detailed images of the body…

Image and Video Processing · Electrical Eng. & Systems 2020-03-20 Miriam Zulema Jacobo , Jose Mejia

Glioblastoma is one of the most aggressive and deadliest types of brain cancer, with low survival rates compared to other types of cancer. Analysis of Magnetic Resonance Imaging (MRI) scans is one of the most effective methods for the…

Image and Video Processing · Electrical Eng. & Systems 2023-12-20 Huafeng Liu , Benjamin Dowdell , Todd Engelder , Zarah Pulmano , Nicolas Osa , Arko Barman

Multi-modal magnetic resonance imaging (MRI) is a crucial method for analyzing the human brain. It is usually used for diagnosing diseases and for making valuable decisions regarding the treatments - for instance, checking for gliomas in…

Image and Video Processing · Electrical Eng. & Systems 2021-05-26 Ashwin Nalwade , Jackie Kisa

Magnetic Resonance Imaging (MRI) is an important diagnostic tool for precise detection of various pathologies. Magnetic Resonance (MR) is more preferred than Computed Tomography (CT) due to the high resolution in MR images which help in…

Computer Vision and Pattern Recognition · Computer Science 2017-11-01 Pranay Manocha , Snehal Bhasme , Tanvi Gupta , BK Panigrahi , Tapan K. Gandhi

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histological sub-regions, i.e., peritumoral edema, necrotic core, enhancing and non-enhancing…

Computer Vision and Pattern Recognition · Computer Science 2020-11-30 Marco Domenico Cirillo , David Abramian , Anders Eklund

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

Brain tumor segmentation intends to delineate tumor tissues from healthy brain tissues. The tumor tissues include necrosis, peritumoral edema, and active tumor. In contrast, healthy brain tissues include white matter, gray matter, and…

Image and Video Processing · Electrical Eng. & Systems 2020-06-03 Snehal Rajput , Mehul S Raval

Glioma is the most deadly brain tumor with high mortality. Treatment planning by human experts depends on the proper diagnosis of physical symptoms along with Magnetic Resonance(MR) image analysis. Highly variability of a brain tumor in…

Image and Video Processing · Electrical Eng. & Systems 2021-03-09 Rupal Agravat , Mehul S Raval
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