Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks

Classifying Brain Tumors on Magnetic Resonance Imaging by Using Convolutional Neural Networks

(2023) Marco Antonio Gómez-Guzmán et al.   Electronics

Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks

(2022) Bilal Ahmad et al.   Biomedicines

Optimal DeepMRSeg based tumor segmentation with GAN for brain tumor classification

(2022) G. Neelima et al.   Biomedical Signal Processing and Control

Immunotherapy in aggressive pituitary tumors and carcinomas: a systematic review

(2022) Mirela Diana Ilie et al.   ENDOCRINE-RELATED CANCER

Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images

(2022) Abdullah A. Asiri et al.   INTELLIGENT AUTOMATION AND SOFT COMPUTING

Impact of new molecular criteria on diagnosis and survival of adult glioma patients

(2022) Danny Mortensen et al.   IBRO Neuroscience Reports

Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model

(2021) Gian Marco Conte et al.   RADIOLOGY

Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A Review

(2021) Maria Nazir et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

ToStaGAN: An end-to-end two-stage generative adversarial network for brain tumor segmentation

(2021) Yi Ding et al.   NEUROCOMPUTING

Basis for Immunotherapy for Treatment of Meningiomas

(2020) Tomas Garzon-Muvdi et al.   Frontiers in Neurology

Combined Amino Acid Positron Emission Tomography and Advanced Magnetic Resonance Imaging in Glioma Patients

(2019) Philipp Lohmann et al.   Cancers

Brain tumor classification using deep CNN features via transfer learning

(2019) S. Deepak et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned

(2019) Mahmoud Khaled Abd-Ellah et al.   MAGNETIC RESONANCE IMAGING

Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

(2019) Navid Ghassemi et al.   Biomedical Signal Processing and Control

Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images

(2018) Antonio Brunetti et al.   NEUROCOMPUTING

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms

(2018) Amin Kabir Anaraki et al.   Biocybernetics and Biomedical Engineering

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

(2016) David N. Louis et al.   ACTA NEUROPATHOLOGICA

Pathology and Molecular Genetics of Meningioma: Recent Advances

(2015) Makoto SHIBUYA   NEUROLOGIA MEDICO-CHIRURGICA