Cargando…

Long-term cancer survival prediction using multimodal deep learning

The age of precision medicine demands powerful computational techniques to handle high-dimensional patient data. We present MultiSurv, a multimodal deep learning method for long-term pan-cancer survival prediction. MultiSurv uses dedicated submodels to establish feature representations of clinical,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vale-Silva, Luís A., Rohr, Karl
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242026/ https://www.ncbi.nlm.nih.gov/pubmed/34188098 http://dx.doi.org/10.1038/s41598-021-92799-4

Ejemplares similares

Brain Tumor Segmentation and Survival Prediction Using Multimodal MRI Scans With Deep Learning
por: Sun, Li, et al.
Publicado: (2019)

Pancancer survival prediction using a deep learning architecture with multimodal representation and integration
por: Fan, Ziling, et al.
Publicado: (2023)

Multimodal Deep Learning for Prognosis Prediction in Renal Cancer
por: Schulz, Stefan, et al.
Publicado: (2021)

Multimodal survival prediction in advanced pancreatic cancer using machine learning
por: Keyl, J., et al.
Publicado: (2022)

Long-Term Survival Prediction Model for Elderly Community Members Using a Deep Learning Method
por: Cho, Kyoung Hee, et al.
Publicado: (2023)

Aggressive Multimodal Approach for Anaplastic Thyroid Cancer and Long-Term Survival
por: Hussain, Nasir, et al.
Publicado: (2013)

Deep learning with multimodal representation for pancancer prognosis prediction
por: Cheerla, Anika, et al.
Publicado: (2019)

Long-term survival of patients with anaplastic thyroid cancer after multimodal treatment
por: Lee, Haejun, et al.
Publicado: (2020)

Predicting TCR-Epitope Binding Specificity Using Deep Metric Learning and Multimodal Learning
por: Luu, Alan M., et al.
Publicado: (2021)

CAMR: cross-aligned multimodal representation learning for cancer survival prediction
por: Wu, Xingqi, et al.
Publicado: (2023)

Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding
por: Pearson, Martin J., et al.
Publicado: (2021)

Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
por: Luckett, Patrick H., et al.
Publicado: (2023)

De novo Prediction of Moonlighting Proteins Using Multimodal Deep Ensemble Learning
por: Li, Ying, et al.
Publicado: (2021)

Interpretable survival prediction for colorectal cancer using deep learning
por: Wulczyn, Ellery, et al.
Publicado: (2021)

Long term disease free survival with multimodal therapy in small cell bladder cancer
por: Heidegger, Isabel, et al.
Publicado: (2016)

An Automatic Deep Learning–Based Workflow for Glioblastoma Survival Prediction Using Preoperative Multimodal MR Images: A Feasibility Study
por: Fu, Jie, et al.
Publicado: (2021)

Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
por: Wagner, Martin, et al.
Publicado: (2022)

Multimodal deep learning methods enhance genomic prediction of wheat breeding
por: Montesinos-López, Abelardo, et al.
Publicado: (2023)

Geographic Atrophy Segmentation Using Multimodal Deep Learning
por: Spaide, Theodore, et al.
Publicado: (2023)

Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer
por: Joo, Sunghoon, et al.
Publicado: (2021)

Prediction of visual impairment in retinitis pigmentosa using deep learning and multimodal fundus images
por: Liu, Tin Yan Alvin, et al.
Publicado: (2023)

Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children
por: Menon, Sreevalsan S., et al.
Publicado: (2021)

Multimodal deep learning to predict prognosis in adult and pediatric brain tumors
por: Steyaert, Sandra, et al.
Publicado: (2023)

Feasibility of Multimodal MRI-Based Deep Learning Prediction of High Amino Acid Uptake Regions and Survival in Patients With Glioblastoma
por: Jeong, Jeong-Won, et al.
Publicado: (2019)

Recurrent cholangiocarcinoma with long-term survival by multimodal treatment: A case report
por: Sota, Yuki, et al.
Publicado: (2021)

Recurrent cholangiocarcinoma with long-term survival by multimodal treatment: A case report
por: Sota, Yuki, et al.
Publicado: (2021)

DeepTraSynergy: drug combinations using multimodal deep learning with transformers
por: Rafiei, Fatemeh, et al.
Publicado: (2023)

Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer
por: Kim, Gihyeon, et al.
Publicado: (2022)

Multimodal Spatiotemporal Deep Learning Framework to Predict Response of Breast Cancer to Neoadjuvant Systemic Therapy
por: Verma, Monu, et al.
Publicado: (2023)

An Ensembled Framework for Human Breast Cancer Survivability Prediction Using Deep Learning
por: Mustafa, Ehzaz, et al.
Publicado: (2023)

A multimodal deep learning model for predicting severe hemorrhage in placenta previa
por: Akazawa, Munetoshi, et al.
Publicado: (2023)

DPSP: a multimodal deep learning framework for polypharmacy side effects prediction
por: Masumshah, Raziyeh, et al.
Publicado: (2023)

Correction to: Multimodal deep learning methods enhance genomic prediction of wheat breeding
Publicado: (2023)

Deep learning-based survival prediction of oral cancer patients
por: Kim, Dong Wook, et al.
Publicado: (2019)

Prediction of long-term survival after gastrectomy using random survival forests
por: Rahman, S A, et al.
Publicado: (2021)

A Novel Deep Learning Method to Predict Lung Cancer Long-Term Survival With Biological Knowledge Incorporated Gene Expression Images and Clinical Data
por: Wang, Shuo, et al.
Publicado: (2022)

Multimodal deep learning for liver cancer applications: a scoping review
por: Siam, Aisha, et al.
Publicado: (2023)

Accessory pathway analysis using a multimodal deep learning model
por: Nishimori, Makoto, et al.
Publicado: (2021)

Classification of parotid gland tumors by using multimodal MRI and deep learning
por: Chang, Yi‐Ju, et al.
Publicado: (2020)

Experiments on Adversarial Examples for Deep Learning Model Using Multimodal Sensors
por: Kurniawan, Ade, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_b13f2i8sthf4d2d1nnnpunuken