Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI
出版年份 2020 全文链接
标题
Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI
作者
关键词
-
出版物
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-03-05
DOI
10.1007/s10489-020-01658-8
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。- Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer
- (2020) Xiaomei Wu et al. ACADEMIC RADIOLOGY
- Diffusion kurtosis imaging-derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings
- (2019) Yanfen Cui et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations
- (2019) Natally Horvat et al. EUROPEAN JOURNAL OF RADIOLOGY
- Attention gated networks: Learning to leverage salient regions in medical images
- (2019) Jo Schlemper et al. MEDICAL IMAGE ANALYSIS
- Medical image classification using synergic deep learning
- (2019) Jianpeng Zhang et al. MEDICAL IMAGE ANALYSIS
- Magnetic Resonance-Based Texture Analysis Differentiating KRAS Mutation Status in Rectal Cancer
- (2019) Ji Eun Oh et al. Cancer Research and Treatment
- Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?
- (2018) Lei Yang et al. EUROPEAN RADIOLOGY
- Could IVIM and ADC help in predicting the KRAS status in patients with rectal cancer?
- (2018) Yanyan Xu et al. EUROPEAN RADIOLOGY
- Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models
- (2018) Yidong Chai et al. KNOWLEDGE-BASED SYSTEMS
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
- (2018) Maayan Frid-Adar et al. NEUROCOMPUTING
- An overview of deep learning in medical imaging focusing on MRI
- (2018) Alexander Selvikvåg Lundervold et al. Zeitschrift fur Medizinische Physik
- Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT
- (2018) Yutong Xie et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Genetics, Cytogenetics, and Epigenetics of Colorectal Cancer
- (2011) Lucia Migliore et al. JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY
- Colon cancer
- (2010) Roberto Labianca et al. CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search