Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

Subjects: “…brain tumor…”
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YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image by Nur Iriawan, Anindya A. Pravitasari, Ulfa S. Nuraini, Nur I. Nirmalasari, Taufik Azmi, Muhammad Nasrudin, Adam F. Fandisyah, Kartika Fithriasari, Santi W. Purnami, null Irhamah, Widiana Ferriastuti

“…Brain tumor detection and segmentation are the main issues in biomedical engineering research fields, and it is always challenging due to its heterogeneous shape and location in MRI. …”
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Procollagen-Like Protein as a Molecular Target in the Treatment of Primary Brain Tumor by Medhi Wangpaichitr, Howard Landy, Chun Jing Wu, Lynn G. Feun, Rong Xu, Jenny Xu, Niramol Savaraj

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Occupational Neurobrucellosis Mimicking a Brain Tumor: A Case Report and Review of the Literature by Hussein Algahtani, Bader Shirah, Dina Abdulghani, Roiya Farhan, Raghad Algahtani

“…Neurobrucellosis should be included in the differential diagnosis in patients presenting with solitary mass lesion mimicking brain tumor especially in endemic areas or high occupational risk group.…”
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Hydrogel-based nanoparticles: revolutionizing brain tumor treatment and paving the way for future innovations by Alireza Shadab, Simin Farokhi, Arshia Fakouri, Neda Mohagheghzadeh, Ali Noroozi, Zahra Sadat Razavi, Arian Karimi Rouzbahani, Hamidreza Zalpoor, Mohamad Mahjoor

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Heberferón®’s economic feasibility in patients with high-grade brain tumors without therapeutic options by María Margarita Ríos Cabrera, Iraldo Bello Rivero, Javier Cruz Rodríguez

“…<br /><strong>Conclusions:</strong> the economic feasibility of using Heberferón® was evident, when comparing it with other products to treat patients with highly malignant brain tumors without therapeutic options.</p>…”
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Context aware machine learning techniques for brain tumor classification and detection – A review by Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish

“…Background: Machine learning has tremendous potential in acute medical care, particularly in the field of precise medical diagnosis, prediction, and classification of brain tumors. Malignant gliomas, due to their aggressive growth and dismal prognosis, stand out among various brain tumor types. …”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…Brain cancer deaths are significantly increased in all categories of aged persons due to the abnormal growth of brain tumor tissues in the brain. The death rate can be controlled by accurate early stage brain tumor diagnosis. …”
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NeuroSight: A Deep‐Learning Integrated Efficient Approach to Brain Tumor Detection by Shafayat Bin Shabbir Mugdha, Mahtab Uddin

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Toward a Theranostic Approach for the Brain Tumor Toxicity Profile of Polymer-Shelled Microbubbles by Gaio Paradossi, Fabio Domenici, Francesco Riccitelli, Rachel Grossman

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Combined Oriented Data Augmentation Method for Brain MRI Images by Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor

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MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks by Lijuan Yang, Lijuan Yang, Qiumei Dong, Da Lin, Chunfang Tian, Xinliang Lü

Subjects: “…brain tumor segmentation…”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

“…Deep learning models have become essential for automated medical image analysis in brain tumor detection. Existing Convolutional Neural Network (CNN) models like Visual Geometry Group 19 (VGG19), Residual Network 18 (ResNet18), and Residual Network 34 (ResNet34), despite their success in image classification and recognition, face challenges such as unclear boundary detection, limited generalization, and lower computational efficiency in detecting brain tumors. …”
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Targeted Transition Readiness Workshops for Pediatric Brain Tumor Survivors: Feasibility, Acceptability, and Preliminary Effects by Julie Carrier, Tziona Lugasi, Nathalie Labonté, Carole Provost, Andrea Saragosti, Claire Longpré, Bénédicte Koukoui, Émilie Régnier-Trudeau, Serge Sultan, Hallie Coltin, Sébastien Perreault, Marco Bonanno, Leandra Desjardins

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A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification by Abdelmgeid A. Ali, Mohamed T. Hammad, Hassan S. Hassan

Subjects: “…Brain tumors…”
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Comparison of Amino Acid Positron Emission Tomographic Radiotracers for Molecular Imaging of Primary and Metastatic Brain Tumors by Csaba Juhász, Shalini Dwivedi, David O. Kamson, Sharon K. Michelhaugh, Sandeep Mittal

“…PET plays a significant role in the diagnosis, prognostication, and treatment of various cancers, including brain tumors. In this article, we compare uptake mechanisms and the clinical performance of the amino acid PET radiotracers (L-[methyl- 11 C]methionine [MET], 18 F-fluoroethyl-tyrosine [FET], 18 F-fluoro-L- dihydroxy-phenylalanine [FDOPA], and 11 C-alpha-methyl-L-tryptophan [AMT]) most commonly used for brain tumor imaging. …”
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Clinical confocal laser endomicroscopy for imaging of autofluorescence signals of human brain tumors and non-tumor brain by Marlen Reichenbach, Sven Richter, Roberta Galli, Matthias Meinhardt, Katrin Kirsche, Achim Temme, Dimitrios Emmanouilidis, Witold Polanski, Insa Prilop, Dietmar Krex, Stephan B. Sobottka, Tareq A. Juratli, Ilker Y. Eyüpoglu, Ortrud Uckermann

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GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare by Naida Solak, André Ferreira, Gijs Luijten, Behrus Puladi, Victor Alves, Jan Egger

Subjects: “…Brain tumor segmentation…”
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Transferrin receptor-1 and ferritin heavy and light chains in astrocytic brain tumors: Expression and prognostic value. by Ann Mari Rosager, Mia D Sørensen, Rikke H Dahlrot, Steinbjørn Hansen, David L Schonberg, Jeremy N Rich, Justin D Lathia, Bjarne W Kristensen

“…Astrocytic brain tumors are the most frequent primary brain tumors. …”
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