Evolution of Brain Tumor and Stability of Geometric Invariants by K. Tawbe, F. Cotton, L. Vuillon

“…This paper presents a method to reconstruct and to calculate geometric invariants on brain tumors. The geometric invariants considered in the paper are the volume, the area, the discrete Gauss curvature, and the discrete mean curvature. …”
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Result of Surgery to Patients with Brain Tumor in Cienfuegos by Jorge Luis Acevedo Cardoso, Samuel Sánchez Sánchez, Yoniel Suárez Guerrero, Tamara García Alfonso de Armas, Wendy Gómez Menéndez

“…<strong>Foundation:</strong> brain tumors cause high mortality, decrease in quality of life and impact negatively family health. …”
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Focused ultrasound for treatment of peripheral brain tumors by Phillip Mitchell Johansen, Payton Yerke Hansen, Ali A. Mohamed, Sarah J. Girshfeld, Marc Feldmann, Brandon Lucke-Wold

“…Malignant brain tumors are the leading cause of cancer-related death in children and remain a significant cause of morbidity and mortality throughout all demographics. …”
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Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

“… This paper presents a brain tumor segmentation system for MRI images using Convolutional Neural Networks (CNNs). …”
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Brain-targeting Nanoparticle Drug Delivery Systems for Brain Tumors by Yi Zhao, Yamin Cui, Yuanyuan Sun

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Malignant brain tumor in early pregnancy mistaken for hyperemesis gravidarum by Naoki Abe, Maki Goto, Sachino Kira, Mariko Matsuno, Sotaro Hayashi, Miho Oda, Lifa Lee, Yoko To, Satoshi Nishiyama, Hiroshi Tsujioka

Subjects: “…Brain tumor…”
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Ensemble Deep Learning Technique for Detecting MRI Brain Tumor by Rasool Fakhir Jader, Shahab Wahhab Kareem, Hoshang Qasim Awla

“…The authors used VGG-16, ResNet-50, and AlexNet models based on the transfer learning algorithm for three models to classify images as an ensemble model. As a result, MRI brain tumor segmentation is more precise because each spatial feature point can now refer to all other contextual data. …”
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Autophagy in brain tumors: molecular mechanisms, challenges, and therapeutic opportunities by Jiarui Zhang, Jinan Zhang, Chen Yang

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Phosphatidylserine-Targeted Nanotheranostics for Brain Tumor Imaging and Therapeutic Potential by Lulu Wang MD, PhD, Amyn A. Habib MD, Akiva Mintz MD, PhD, King C. Li MD, Dawen Zhao MD, PhD

“…There is a critical need for improved diagnosis and therapy for brain tumors. We have recently established PS-targeted nanoplatforms, aiming to enhance delivery of imaging contrast agents across the blood–brain barrier to facilitate imaging of brain tumors. …”
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Brain Tumor Detection Using a Deep CNN Model by Sonia Ben Brahim, Samia Dardouri, Ridha Bouallegue

“…The diagnosis of brain tumors through magnetic resonance imaging (MRI) has become highly significant in the field of medical science. …”
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A review of deep learning for brain tumor analysis in MRI by Felix J. Dorfner, Jay B. Patel, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Christopher P. Bridge

“…Within the analysis of brain tumors in magnetic resonance imaging, DL finds applications in tumor segmentation, quantification, and classification. …”
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Brain Tumor Segmentation Based on Hybrid Clustering and Morphological Operations by Chong Zhang, Xuanjing Shen, Hang Cheng, Qingji Qian

“…Inference of tumor and edema areas from brain magnetic resonance imaging (MRI) data remains challenging owing to the complex structure of brain tumors, blurred boundaries, and external factors such as noise. …”
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Metastatic brain tumors: from development to cutting‐edge treatment by Guilong Tanzhu, Liu Chen, Jiaoyang Ning, Wenxiang Xue, Ce Wang, Gang Xiao, Jie Yang, Rongrong Zhou

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Association between a Primitive Brain Tumor and Cerebral Aspergillosis by Siegfried Hélage, Charles Duyckaerts, Danielle Seilhean, Jean-Jacques Hauw, Jacques Chiras

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Plasticity of the Primary Motor Cortex in Patients with Primary Brain Tumors by Nathan W. Kong, William R. Gibb, Suvarna Badhe, Benjamin P. Liu, Matthew C. Tate

“…In a retrospective case series of 13 patients, we utilize a novel paradigm that analyzes serial fMRI scans in patients harboring intrinsic brain tumors that vary in location and growth kinetics to better understand the mechanisms underlying these two modes of plasticity in the human primary motor cortex. …”
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Dilated SE-DenseNet for brain tumor MRI classification by Yuannong Mao, Jiwook Kim, Lena Podina, Mohammad Kohandel

“…Abstract In the field of medical imaging, particularly MRI-based brain tumor classification, we propose an advanced convolutional neural network (CNN) leveraging the DenseNet-121 architecture, enhanced with dilated convolutional layers and Squeeze-and-Excitation (SE) networks’ attention mechanisms. …”
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Preoperative mapping techniques for brain tumor surgery: a systematic review by Augusto Leone, Augusto Leone, Francesco Carbone, Francesco Carbone, Uwe Spetzger, Peter Vajkoczy, Giovanni Raffa, Flavio Angileri, Antonino Germanó, Melina Engelhardt, Thomas Picht, Thomas Picht, Antonio Colamaria, Tizian Rosenstock, Tizian Rosenstock

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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…With the widespread application of Artificial Intelligence (AI) and Machine Learning (ML) in medical field, early diagnosis of brain tumors has become increasingly significant. However, traditional methods face challenges such as data privacy, model interpretability, and data heterogeneity. …”
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Enhanced Brain Tumor Classification through Gamma Correction in Deep Learning by Muhammad Naufal, Harun Al Azies, Rivaldo Mersis Brilianto

“…Classification of brain tumors is a problem in computer-aided diagnosis (CAD). …”
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An efficient hybrid model of CNNs and different kernels of SVM for brain tumor classification by Mohammed Bourennane, Hilal Naimi

Subjects: “…Convolutional neural network; Support Vector Machines; Brain tumors; Efficientnetb0; Gaussian kernel function.…”
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