Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks
出版年份 2023 全文链接
标题
Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks
作者
关键词
-
出版物
PeerJ Computer Science
Volume 9, Issue -, Pages e1667
出版商
PeerJ
发表日期
2023-11-03
DOI
10.7717/peerj-cs.1667
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now