A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas
出版年份 2023 全文链接
标题
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas
作者
关键词
-
出版物
CANCER IMAGING
Volume 23, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-10-28
DOI
10.1186/s40644-023-00615-1
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。- A Fully Automated Multimodal MRI-based Multi-task Learning for Glioma Segmentation and IDH Genotyping
- (2022) Jianhong Cheng et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations
- (2022) Nathaniel C. Swinburne et al. RADIOLOGY
- Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning
- (2022) Sebastian R van der Voort et al. NEURO-ONCOLOGY
- Regional healthy brain activity, glioma occurrence and symptomatology
- (2022) Tianne Numan et al. BRAIN
- Surgical strategy for insular glioma
- (2021) Colin J. Przybylowski et al. JOURNAL OF NEURO-ONCOLOGY
- The 2021 WHO Classification of Tumors of the Central Nervous System: a summary
- (2021) David N Louis et al. NEURO-ONCOLOGY
- An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas
- (2021) Guanzhang Li et al. BRAIN
- Optimization of STP Innovation Management Mechanisms Driven by Advanced Evolutionary IoT Arithmetic
- (2021) Tianxiang Wang et al. Computational Intelligence and Neuroscience
- Low-grade glioma subtypes revealed
- (2020) Peter Sidaway Nature Reviews Clinical Oncology
- Glioblastoma in Adults: A Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) Consensus Review on Current Management and Future Directions
- (2020) Patrick Y Wen et al. NEURO-ONCOLOGY
- Fully Automated Hybrid Approach to Predict the IDH Mutation Status of Gliomas via Deep Learning and Radiomics
- (2020) Yoon Seong Choi et al. NEURO-ONCOLOGY
- Does location matter? Characterisation of the anatomic locations, molecular profiles, and clinical features of gliomas
- (2020) Christopher Mackintosh et al. Neurologia i Neurochirurgia Polska
- Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement
- (2019) Ken Chang et al. NEURO-ONCOLOGY
- A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
- (2018) Xiaomei Zhao et al. MEDICAL IMAGE ANALYSIS
- Multidimensional communication in the microenvirons of glioblastoma
- (2018) Marike L. Broekman et al. Nature Reviews Neurology
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
- (2016) David N. Louis et al. ACTA NEUROPATHOLOGICA
- Dynamics of FLAIR Volume Changes in Glioblastoma and Prediction of Survival
- (2016) Rachel Grossman et al. ANNALS OF SURGICAL ONCOLOGY
- FSL
- (2011) Mark Jenkinson et al. NEUROIMAGE
- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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