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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…

Stereotactic radiosurgery is a minimally-invasive treatment option for a large number of patients with intracranial tumors. As part of the therapy treatment, accurate delineation of brain tumors is of great importance. However,…

Background: Radiogenomics allows identification of radiological biomarkers for genomic phenotypes. In glioblastoma, these biomarkers could potentially complement patient stratification strategies. We aim to develop and analytically validate…

Machine Learning · Computer Science 2026-05-12 Prajwal Ghimire , Junjie Li , Liu Yaou , Marc Modat , Thomas Booth

PET imaging is a non-invasive technique for particle range verification in proton therapy. It is based on measuring the beta+ annihilations caused by nuclear interactions of the protons in the patient. In this work we present measurements…

The method of microwave radiometry is one of the areas of medical diagnosis of breast cancer. It is based on analysis of the spatial distribution of internal and surface tissue temperatures, which are measured in the microwave (RTM) and…

Quantitative Methods · Quantitative Biology 2019-10-08 Vladislav Levshinskii , Maxim Polyakov , Alexander Losev , Alexander Khoperskov

Complete resection of malignant gliomas is hampered by the difficulty in distinguishing tumor cells at the infiltration zone. Fluorescence guidance with 5-ALA assists in reaching this goal. Using hyperspectral imaging, previous work…

Objective: Brain metastases (BMs) are common in cancer patients and determining the primary tumor site is crucial for effective treatment. This study aims to predict the primary tumor site from BM MRI data using radiomic features and…

Machine Learning · Computer Science 2024-07-09 Hamidreza Sadeghsalehi

Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the naked eye difficult. Since surgery is the common treatment…

Tissue texture is known to exhibit a heterogeneous or non-stationary nature, therefore using a single resolution approach for optimum classification might not suffice. A clinical decision support system that exploits the subband textural…

Computer Vision and Pattern Recognition · Computer Science 2015-12-29 Omar S. Al-Kadi

Diffuse gliomas are highly infiltrative tumors whose early diagnosis and follow-up usually rely on magnetic resonance imaging (MRI). However, the limited sensitivity of this technique makes it impossible to directly assess the extent of the…

Introduction: Terbium-149 ($^{149}$Tb) is a promising radionuclide for targeted $\alpha$ therapy that has a non-zero branching ratio (BR) for positron decay. However, its relatively low positron branching fraction and multiple prompt…

Background and purpose: In-beam Positron Emission Tomography (PET) is one of the modalities that can be used for in-vivo non-invasive treatment monitoring in proton therapy. PET distributions obtained during various treatment sessions can…

Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumour diagnoses that currently have poor clinical treatment outcomes, such as gliosarcomas. Prescription…

Immunotherapy is an effective precision medicine treatment for several cancers. Imaging signatures of the underlying genome (radiogenomics) in glioblastoma patients may serve as preoperative biomarkers of the tumor-host immune apparatus.…

Tissues and Organs · Quantitative Biology 2024-05-14 Prajwal Ghimire , Ben Kinnersley , Golestan Karami , Prabhu Arumugam , Richard Houlston , Keyoumars Ashkan , Marc Modat , Thomas C Booth

Glioblastoma (GBM) is a highly aggressive primary brain tumor with limited therapeutic options and poor prognosis. The methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) gene promoter is a critical molecular biomarker…

Machine Learning · Computer Science 2026-01-13 Hasan M Jamil

Purpose: This proof-of-concept study evaluates feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike most conventional systems that rely on registration to preoperative imaging, the proposed system…

Image and Video Processing · Electrical Eng. & Systems 2025-11-03 Karin Olthof , Theo Ruers , Tiziano Natali , Lisanne Venix , Jasper Smit , Anne den Hartor , Niels Kok , Matteo Fusaglia , Koert Kuhlmann

Radiomics is an exciting new area of texture research for extracting quantitative and morphological characteristics of pathological tissue. However, to date, only single images have been used for texture analysis. We have extended radiomic…

Image and Video Processing · Electrical Eng. & Systems 2019-06-11 Vishwa S. Parekh , John Laterra , Chetan Bettegowda , Alex E. Bocchieri , Jay J. Pillai , Michael A. Jacobs

Accurate and quick diagnosis of normal brain tissue Glioma, Meningioma, and Pituitary Tumors is crucial for optimal treatment planning and improved medical results. Magnetic Resonance Imaging (MRI) is widely used as a non-invasive…

Image and Video Processing · Electrical Eng. & Systems 2025-04-02 Ahmed M. Taha , Salah A. Aly , Mohamed F. Darwish

Radiation therapy is an effective and widely accepted form of treatment for many types of cancer that requires extensive computerized planning. Unfortunately, current treatment planning systems have limited or no visual aid that combines…

Graphics · Computer Science 2018-11-30 Felix G. Hamza-Lup , Ivan Sopin , Omar Zeidan

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