Suchergebnisse - "Brain Tumors"

Unlocking the Potential of Dynamic Susceptibility Contrast Magnetic Resonance Perfusion for Non-Invasive Pre-Operative Diagnosis of Brain Tumors

Autoren: Pons-Escoda, Albert

Weitere Verfasser: University/Department: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Thesis Advisors: Oleaga Zufiría, Laura, Majós Torró, Carles

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Oncologia, Oncología, Oncology, Neurociències, Neurociencias, Neurosciences, Tumors cerebrals, Tumores cerebrales, Brain tumors, Ressonància magnètica, Resonancia magnética, Magnetic resonance, Diagnòstic diferencial, Diagnóstico diferencial, Differential diagnosis, Ciències de la Salut

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695603

Development of a brain-penetrant formulation of SN-38 using shuttle peptides for the treatment of pediatric high-grade gliomas

Autoren: Resa Parés, Clàudia

Weitere Verfasser: University/Department: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Thesis Advisors: Montero Carcaboso, Ángel, Teixidó Turà, Meritxell, Ventura Pujol, Francesc

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Barrera hematoencefàlica, Barrera hematoencefálica, Blood-brain barrier, Administració de medicaments, Administración de medicamentos, Administration of drugs, Quimioteràpia del càncer, Quimioterapia del cáncer, Cancer chemotherapy, Tumors cerebrals, Tumores cerebrales, Brain tumors, Pèptids, Péptidos, Peptides, Ciències de la Salut

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/694709

Hybrid segmentation model and CAViaR -based Xception Maxout network for brain tumor detection using MRI images.

Autoren: Swapna, Satha Garapati, Yugandhar

Quelle: Medical & Biological Engineering & Computing. Nov2025, Vol. 63 Issue 11, p3357-3379. 23p.

Schlagwörter: *ARTIFICIAL neural networks, BRAIN tumors, MAGNETIC resonance imaging, STATISTICAL models, DETECTION algorithms, FEATURE extraction, DATA augmentation, IMAGE segmentation

Anàlisi translacional de la teràpia fotodinàmica mitjançant l’àcid 5-aminolevulínic en el tractament del Glioblastoma

Autoren: Ferrés Pijoan, Abel

Weitere Verfasser: University/Department: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Thesis Advisors: Enseñat Nora, Joaquim, González Sánchez, José Juan

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Oncologia, Oncología, Oncology, Tumors cerebrals, Tumores cerebrales, Brain tumors, Glioma, Gliomas, Terapèutica, Terapéutica, Therapeutics, Ciències de la Salut

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/692799

Peritumoral Edema in Canine Extra‐Axial Brain Tumours: Effect of Steroids.

Autoren: Poirier, Valerie J. Gieger, Tracy James, Fiona M. K. et al.

Quelle: Veterinary & Comparative Oncology. Mar2025, Vol. 23 Issue 1, p73-81. 9p.

Schlagworte: Magnetic resonance imaging, Brain tumors, Clinical deterioration, Symptoms, Steroid drugs

Deep transfer learning for diagnosis of brain tumor.

Autoren: Adepu, Sharada Vavilala, Divya Raj Geddhada, Akhila et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3361 Issue 1, p1-8. 8p.

Schlagwörter: *BRAIN tumors, *DIAGNOSIS, *TRANSFER of training, *MAGNETIC resonance imaging, *RANDOM forest algorithms, *SUPPORT vector machines, *DEEP learning, *CLASSIFICATION algorithms

Brain tumor classification using deep learning.

Autoren: Yannan, Bharath Bhushan Bokka, Durga Sri Harshitha Tirukutchu, Modhita et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3361 Issue 1, p1-10. 10p.

Schlagwörter: *BRAIN tumors, *DEEP learning, *MAGNETIC resonance imaging, *CONVOLUTIONAL neural networks, *GLIOMAS, *MENINGIOMA, *SUPPORT vector machines, *ANTERIOR pituitary gland

An efficient prediction of glioma brain tumor disease using segmentation, co-active adaptive neuro fuzzy expert and principal component analysis.

Autoren: Garg, Jyoti Chhabra, Mohit Gujral, Rajneesh et al.

Quelle: AIP Conference Proceedings. 10/31/2025, Vol. 3343 Issue 1, p1-5. 5p.

Schlagwörter: *GLIOMAS, *BRAIN tumors, *IMAGE segmentation, *FORECASTING, *FUZZY expert systems, *SENSITIVITY & specificity (Statistics), *PRINCIPAL components analysis, *STATISTICAL accuracy

Streamlining brain tumor diagnosis: Knowledge distillation for computational efficiency.

Autoren: Moghariya, Jaiminkumar Shambharkar, Prashant Giridhar

Quelle: AIP Conference Proceedings. 2025, Vol. 3297 Issue 1, p1-10. 10p.

Schlagwörter: *BRAIN tumors, *DIAGNOSIS, *KNOWLEDGE transfer, *CONVOLUTIONAL neural networks, *MAGNETIC resonance imaging, *OPTIMIZATION algorithms

Brain tumor detection using deep learning in the field of healthcare.

Autoren: Panda, Satyaswagat Akhil Satapathy, Subhransu Sekhar et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3335 Issue 1, p1-7. 7p.

Schlagwörter: *BRAIN tumors, *DEEP learning, *PATHOLOGY, *DETECTION algorithms, *MEDICAL care, *TUMOR classification, *CLINICAL decision making, *MAGNETIC resonance imaging

Classification model for Benign and malignant tumor cases in brain tumor and lung cancer.

Autoren: Kumar, P. Kiran Rama

Quelle: AIP Conference Proceedings. 2025, Vol. 3325 Issue 1, p1-11. 11p.

Schlagwörter: *TUMOR classification, *BRAIN tumors, *BENIGN tumors, *TUMORS, *CLINICAL medicine, *RADIOGRAPHIC processing, *LUNG cancer, *CONVOLUTIONAL neural networks

Design of ultra-wide band (UWB) printed mono pole antenna for tumor finding with CST tool.

Autoren: Venkateswarlu, Madduri Rao, M. Ranga Kondalu, B. et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3325 Issue 1, p1-9. 9p.

Schlagwörter: *EARLY detection of cancer, *BRAIN tumors, *ULTRA-wideband devices, *SIMULATION software, *MONOPOLE antennas, *SUBSTRATES (Materials science)

OccRF-Health study: occupational exposure of workers to RF-EMF

Autoren: Turuban, Maxime

Weitere Verfasser: University/Department: Universitat Pompeu Fabra. Departament de Medicina i Ciències de la Vida

Thesis Advisors: Turner, Michelle C.

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: RF-EMF occupational exposure, Job Exposure Matrix (JEM), Personal measurements, Occupational exposure assessment, Brain tumors, INTEROCC, Radiofrequency electromagnetic fields (RF- EMF), Exposición profesional a RF-EMF, Matriz de Exposición Laboral (JEM), Mediciones personales, Evaluación de la exposición profesional, Tumores cerebrales, Campos electromagnéticos de radiofrecuencia (RF-EMF)

Time: 616.8

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/690904

Fully-Automated Graph Cut-Based Segmentation of Brain Tumor in Multimodal MRI.

Autoren: Magroun, Hanan Mazouzi, Smaine Serdi, Hamid

Quelle: Ingénierie des Systèmes d'Information. Sep2025, Vol. 30 Issue 9, p2405-2414. 10p.

Schlagwörter: *AUTOMATION, BRAIN tumors, IMAGE segmentation, IMAGE analysis, ONCOLOGY, COMPUTER-assisted image analysis (Medicine), MAGNETIC resonance imaging

Enhanced Brain and Lung Tumor Detection by Explainable AI Techniques.

Autoren: Marichamy, Malathi Pandian, Nagarajan Kesavan, Sujatha et al.

Quelle: Traitement du Signal. Aug2025, Vol. 42 Issue 4, p1935-1943. 9p.

Schlagwörter: *ARTIFICIAL intelligence, BRAIN tumors, LUNG tumors, EARLY detection of cancer, DEEP learning, IMAGE processing, MAGNETIC resonance imaging, PROGNOSIS

A Hybrid Clustering Approach: Segmentation and Classification of Brain Tumour Utilizing SVM and CNN Methods.

Autoren: Kantharimuthu, Mahendrakan Marichamy, Malathi

Quelle: Traitement du Signal. Aug2025, Vol. 42 Issue 4, p2281-2288. 8p.

Schlagwörter: *CLUSTER analysis (Statistics), BRAIN tumors, IMAGE segmentation, CLASSIFICATION, CONVOLUTIONAL neural networks, FEATURE extraction, SUPPORT vector machines, MAGNETIC resonance imaging

Analysis of a Radiotherapy Model for Brain Tumors.

Autoren: Chugunova, Marina Ji, Hangjie Taranets, Roman et al.

Quelle: Studies in Applied Mathematics. Jul2025, Vol. 155 Issue 1, p1-41. 41p.

Schlagwörter: *MATHEMATICAL models, *OPTIMAL control theory, *MATHEMATICAL analysis, RADIOTHERAPY, BRAIN tumors, COMPUTER simulation, CANCER cells

Classifying Brain Tumor in MRIs Using Spatial Attention-Based Adaptive Inception Residual Net and Localizing Abnormalities via Hyperdense Inception 3D Trans-UNet + + Model.

Autoren: Pushparaj, E. Arun, A.

Quelle: International Journal of Image & Graphics. Aug2025, p1. 35p.

Schlagwörter: *ARTIFICIAL intelligence, BRAIN tumors, MAGNETIC resonance imaging, IMAGE segmentation, ATTENTION, CLASSIFICATION, DEEP learning

Brain Tumor MRI Image Segmentation Based on Improved Deep Learning Network Model U2-Net.

Autoren: Luhai, Pan Ruo, Hu Hong, Xu et al.

Quelle: International Journal of Pattern Recognition & Artificial Intelligence. Sep2025, p1. 21p. 11 Illustrations.

Schlagwörter: BRAIN tumors, DEEP learning, IMAGE segmentation, CONVOLUTIONAL neural networks

Isolation of Tumour‐Derived Extracellular Vesicles From the Plasma of Dogs Affected by Intracranial Tumours Showing Heterologous and Cross‐Species Tropism: A Pilot Study.

Autoren: Vincenti, Simona Villa, Alessandro de Mitri, Zemira et al.

Quelle: Veterinary & Comparative Oncology. Dec2024, Vol. 22 Issue 4, p621-628. 8p.

Schlagworte: Brain tumors, Extracellular vesicles, Indocyanine green, Contrast media, Translational research