Cargando…

Identification of Luminal A breast cancer by using deep learning analysis based on multi-modal images

PURPOSE: To evaluate the diagnostic performance of a deep learning model based on multi-modal images in identifying molecular subtype of breast cancer. MATERIALS AND METHODS: A total of 158 breast cancer patients (170 lesions, median age, 50.8 ± 11.0 years), including 78 Luminal A subtype and 92 non...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Menghan, Zhang, Shuai, Du, Yanan, Zhang, Xiaodong, Wang, Dawei, Ren, Wanqing, Sun, Jingxiang, Yang, Shiwei, Zhang, Guang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691590/ https://www.ncbi.nlm.nih.gov/pubmed/38044991 http://dx.doi.org/10.3389/fonc.2023.1243126

Ejemplares similares

Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model
por: Zhang, Xiaodong, et al.
Publicado: (2022)

Automated diagnosis of pancreatic mucinous and serous cystic neoplasms with modality-fusion deep neural network using multi-modality MRIs
por: Zhang, Gong, et al.
Publicado: (2023)

A Deep Multi-Task Learning Framework for Brain Tumor Segmentation
por: Huang, He, et al.
Publicado: (2021)

Circulating Tumor Cell Identification Based on Deep Learning
por: Guo, Zhifeng, et al.
Publicado: (2022)

Prediction of 5-year progression-free survival in advanced nasopharyngeal carcinoma with pretreatment PET/CT using multi-modality deep learning-based radiomics
por: Gu, Bingxin, et al.
Publicado: (2022)

Multi-view radiomics and deep learning modeling for prostate cancer detection based on multi-parametric MRI
por: Li, Chunyu, et al.
Publicado: (2023)

Multi-Modal Song Mood Detection with Deep Learning †
por: Pyrovolakis, Konstantinos, et al.
Publicado: (2022)

Deep Learning-Based Multi-Omics Integration Robustly Predicts Relapse in Prostate Cancer
por: Wei, Ziwei, et al.
Publicado: (2022)

Recurrence risk stratification for locally advanced cervical cancer using multi-modality transformer network
por: Wang, Jian, et al.
Publicado: (2023)

The Multi-Modal Effect of the Anti-fibrotic Drug Pirfenidone on NSCLC
por: Marwitz, Sebastian, et al.
Publicado: (2020)

Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs
por: Amjad, Asma, et al.
Publicado: (2023)

Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma
por: Wu, Jiangfeng, et al.
Publicado: (2022)

Estrogen Receptor and Claudin-6 Might Play Vital Roles for Long-Term Prognosis in Patients With Luminal A Breast Cancer Who Underwent Neoadjuvant Chemotherapy
por: Liu, Yushi, et al.
Publicado: (2022)

Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer
por: Yang, Ganglong, et al.
Publicado: (2023)

Path to Clonal Theranostics in Luminal Breast Cancers
por: Hajjaji, Nawale, et al.
Publicado: (2022)

Robust Prognostic Subtyping of Muscle-Invasive Bladder Cancer Revealed by Deep Learning-Based Multi-Omics Data Integration
por: Zhang, Xiaolong, et al.
Publicado: (2021)

A nomogram based on radiomics signature and deep-learning signature for preoperative prediction of axillary lymph node metastasis in breast cancer
por: Wang, Dawei, et al.
Publicado: (2022)

Applying deep learning-based multi-modal for detection of coronavirus
por: Rani, Geeta, et al.
Publicado: (2021)

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill
por: Kasa, Kevin, et al.
Publicado: (2022)

Combined Use of cyclinD1 and Ki67 for Prognosis of Luminal-Like Breast Cancer Patients
por: Hao, Junmei, et al.
Publicado: (2021)

Multi-modality radiomics nomogram based on DCE-MRI and ultrasound images for benign and malignant breast lesion classification
por: Liu, Xinmiao, et al.
Publicado: (2022)

Deep learning-enhanced radiomics for histologic classification and grade stratification of stage IA lung adenocarcinoma: a multicenter study
por: Pei, Guotian, et al.
Publicado: (2023)

Swin transformer-based GAN for multi-modal medical image translation
por: Yan, Shouang, et al.
Publicado: (2022)

Impact of deep learning image reconstruction algorithms on CT radiomic features in patients with liver tumors
por: Xue, Gongbo, et al.
Publicado: (2023)

Identifying Early Mild Cognitive Impairment by Multi-Modality MRI-Based Deep Learning
por: Kang, Li, et al.
Publicado: (2020)

Detection and Segmentation of Pelvic Bones Metastases in MRI Images for Patients With Prostate Cancer Based on Deep Learning
por: Liu, Xiang, et al.
Publicado: (2021)

A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval
por: Williams-Lekuona, Mikel, et al.
Publicado: (2022)

Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma
por: Li, Chao, et al.
Publicado: (2019)

Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning
por: Lin, Zhixian, et al.
Publicado: (2022)

Rapid multi-task diagnosis of oral cancer leveraging fiber-optic Raman spectroscopy and deep learning algorithms
por: Li, Xing, et al.
Publicado: (2023)

Explainable multi-task learning for multi-modality biological data analysis
por: Tang, Xin, et al.
Publicado: (2023)

Multi-modal body part segmentation of infants using deep learning
por: Voss, Florian, et al.
Publicado: (2023)

MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis
por: Hardy-Werbin, Max, et al.
Publicado: (2023)

Identification of prognostic cancer-associated fibroblast markers in luminal breast cancer using weighted gene co-expression network analysis
por: Xu, An, et al.
Publicado: (2023)

Multi-modality self-attention aware deep network for 3D biomedical segmentation
por: Jia, Xibin, et al.
Publicado: (2020)

Editorial: Bottom-Up Approach: A Route for Effective Multi-Modal Imaging of Tumors
por: Xie, Ruoxi, et al.
Publicado: (2022)

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
por: Zhang, Xingping, et al.
Publicado: (2022)

ABTB2 Regulatory Variant as Predictor of Epirubicin-Based Neoadjuvant Chemotherapy in Luminal A Breast Cancer
por: Gong, Yajie, et al.
Publicado: (2020)

Development of a deep learning model for early gastric cancer diagnosis using preoperative computed tomography images
por: Gao, Zhihong, et al.
Publicado: (2023)

Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification
por: Houssein, Essam H., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_gr7l7ubnp8603a1vkuja73acv5