Stochastic modelling of PTEN regulation in brain tumors: A model for glioblastoma multiforme by Margherita Carletti, Matteo Montani, Valentina Meschini, Marzia Bianchi, Lucia Radici

Subjects: “…brain tumors…”
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YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance by Jian Huang, Wen Ding, Tiancheng Zhong, Gang Yu

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Role of T cell metabolism in brain tumor development: a genetic and metabolic approach by Bo Yang, Zhenyu Li, Peiliang Li, Bo Liang, Yuhan Liu, Enshan Feng

Subjects: “…Malignant brain tumors…”
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The concomitant anxiety and depression in patients with epilepsy caused by low-grade brain tumors by Sungel Xie, Jiao Qiao, Guoming Luan, Chuandong Liang, Chunyue You, Mingxiang Xie, Shunwu Xiao

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Activities of Some Medicinal Plants on the Proliferation and Invasion of Brain Tumor Cell Lines by Saidu I. Ngulde, Umar K. Sandabe, Roger Abounader, Ying Zhang, Isa M. Hussaini

“…U87 and U231 brain tumor cell lines were used for proliferation assay, U251 cell line was used for the invasion assay in collagen V coated inserts, and U87 cell line was used for the western blot detection of cleaved Poly-ADP-Ribose-Polymerase (PARP). …”
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PBVit: A Patch-Based Vision Transformer for Enhanced Brain Tumor Detection by Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma, Ahmad Raza Khan

Subjects: “…Brain tumor detection…”
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The rehabilitation of children with brain tumors using exergames: a scoping review protocol by Catarina Dias Ribeiro, Pedro José Moreira Barbosa, Sandra Sofia Barbosa Pinto de Almeida, Goreti Filipa dos Santos Marques, José Miguel dos Santos Castro Padilha

“…ABSTRACT Objective: To map the literature on the use of exergames in the rehabilitation of school-age children with brain tumors, in any context. Method: Scoping review protocol developed using the recommendations of the Joanna Briggs Institute. …”
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Application of MRI image segmentation algorithm for brain tumors based on improved YOLO by Tao Yang, Xueqi Lu, Lanlan Yang, Miyang Yang, Jinghui Chen, Hongjia Zhao

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Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices by Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Abror Shavkatovich Buriboev, Azizjon Meliboev, Bahodir Muminov, Heung Seok Jeon

Subjects: “…brain tumor detection…”
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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

“…This study succeeded in the detection of brain tumors and provided a clear area of the brain tumor with a high CCR of about 97%.…”
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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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Measuring Brain Tumor Growth: Combined Bioluminescence Imaging–Magnetic Resonance Imaging Strategy by Sarah C. Jost, Lynne Collins, Sarah Travers, David Piwnica-Worms, Joel R. Garbow

“…However, in our studies of small-animal models of malignant brain tumors, we have observed specific instances in which BLI data do not correlate with corresponding MRIs. …”
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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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