Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging

Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging

Show other versions (1)

Saved in:

Bibliographic Details
Main Authors:	Xiawei Wang, James Sharpnack, Thomas C.M. Lee
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2025-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12157125/?tool=EBI
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging.
by: Xiawei Wang, et al.
Published: (2025-01-01)

Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set
by: Nithya R, et al.
Published: (2025-08-01)

Deep learning-based lung cancer classification of CT images
by: Mohammad Khalid Faizi, et al.
Published: (2025-07-01)

Enhancing lung disease diagnosis with deep-learning-based CT scan image segmentation
by: Rima Tri Wahyuningrum, et al.
Published: (2025-09-01)

Focal liver lesion diagnosis with deep learning and multistage CT imaging
by: Yi Wei, et al.
Published: (2024-08-01)

Combined Application of Deep Learning and Radiomic Features for Classification of Lung CT Images
by: Shariati Faridoddin, et al.
Published: (2025-03-01)

Lung Nodule Detection For CT-Guided Biopsy Images Using Deep Learning
by: B. Prashanthi, et al.
Published: (2024-06-01)

Image‐Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With CT ≤ 2 cm
by: Shang Liu, et al.
Published: (2025-05-01)

Deep Learning Approaches for Automated Prediction of Treatment Response in Non-Small-Cell Lung Cancer Patients Based on CT and PET Imaging
by: Randy Guzmán Gómez, et al.
Published: (2025-06-01)

Combining radiomics and deep learning to predict liver metastasis of gastric cancer on CT image
by: Yimin Guo, et al.
Published: (2025-06-01)

Author Correction: Focal liver lesion diagnosis with deep learning and multistage CT imaging
by: Yi Wei, et al.
Published: (2025-06-01)

Automatic Diagnosis of Traumatic Brain Injury Using Deep Learning with CT scan Images
by: Behrang Rezvani Kakhki, et al.
Published: (2025-04-01)

Deep learning–assisted diagnosis of acute mesenteric ischemia based on CT angiography images
by: Lei Song, et al.
Published: (2025-01-01)

An interpretable CT-based deep learning model for predicting overall survival in patients with bladder cancer: a multicenter study
by: Meng Zhang, et al.
Published: (2025-08-01)

Texture Analysis of CT Images in Differential Diagnosis of Non-Small Cell Lung Cancer
by: V. O. Vorobeva, et al.
Published: (2025-07-01)

FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images
by: Liang Zhou, et al.
Published: (2025-06-01)

Image quality improvement in head and neck angiography based on dual-energy CT and deep learning
by: He Zhang, et al.
Published: (2025-04-01)

A prognostic model integrating radiomics and deep learning based on CT for survival prediction in laryngeal squamous cell carcinoma
by: Huan Jiang, et al.
Published: (2025-08-01)

Prediction of bone oligometastases in breast cancer using models based on deep learning radiomics of PET/CT imaging
by: Guoxiu Lu, et al.
Published: (2025-08-01)

Improved Consistency of Lung Nodule Categorization in CT Scans with Heterogeneous Slice Thickness by Deep Learning-Based 3D Super-Resolution
by: Dongok Kim, et al.
Published: (2024-12-01)

Investigation of ensembles of deep learning models for improved chronic kidney diseases detection in CT scan images
by: I.I. Ayogu, et al.
Published: (2025-06-01)

Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study
by: Seo Hyun Oh, et al.
Published: (2025-08-01)

Multimodal Deep Learning Integrating Tumor Radiomics and Mediastinal Adiposity Improves Survival Prediction in Non‐Small Cell Lung Cancer: A Prognostic Modeling Study
by: Ye Niu, et al.
Published: (2025-08-01)

A NOVEL VITBILSTM DEEP LEARNING FRAMEWORK FOR BRAIN HEMORRHAGE PREDICTION USING CT BRAIN IMAGES
by: delveen Abd Al-Nabi
Published: (2025-07-01)

Revolutionizing diagnosis of pulmonary Mycobacterium tuberculosis based on CT: a systematic review of imaging analysis through deep learning
by: Fei Zhang, et al.
Published: (2025-01-01)

Toward Robust Lung Cancer Diagnosis: Integrating Multiple CT Datasets, Curriculum Learning, and Explainable AI
by: Amira Bouamrane, et al.
Published: (2024-12-01)

Multimodal learning for enhanced SPECT/CT imaging in sports injury diagnosis
by: Zhengzheng Jiang, et al.
Published: (2025-07-01)

Residual Volume and Total Lung Capacity at Diagnosis Predict Overall Survival in Non‐Small Cell Lung Cancer Patients
by: Ting Zhai, et al.
Published: (2025-05-01)

Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer
by: Nan Yang, et al.
Published: (2025-05-01)

Integration of Nuclear, Clinical, and Genetic Features for Lung Cancer Subtype Classification and Survival Prediction Based on Machine- and Deep-Learning Models
by: Bin Xie, et al.
Published: (2025-03-01)

A deep learning model for classification of chondroid tumors on CT images
by: Felix G. Gassert, et al.
Published: (2025-03-01)

Lung Fibrosis on CT Imaging: Essentials and Updates
by: Perrine Canivet, et al.
Published: (2024-11-01)

Enhancing Radiomics Reproducibility: Deep Learning-Based Harmonization of Abdominal Computed Tomography (CT) Images
by: Seul Bi Lee, et al.
Published: (2024-11-01)

Predicting lung cancer bone metastasis using CT and pathological imaging with a Swin Transformer model
by: Wanling Li, et al.
Published: (2025-06-01)

Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images
by: Jiameng Lu, et al.
Published: (2025-04-01)

Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images
by: Bangxin Xiao, et al.
Published: (2025-05-01)

Deep Learning Techniques for Lung Cancer Diagnosis with Computed Tomography Imaging: A Systematic Review for Detection, Segmentation, and Classification
by: Kabiru Abdullahi, et al.
Published: (2025-05-01)

DeepOmicsSurv: a deep learning-based model for survival prediction of oral cancer
by: Deepali, et al.
Published: (2025-04-01)

Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scans
by: Xavier Rafael-Palou, et al.
Published: (2025-08-01)

Deep Learning-Based Segmentation and Localization in CT Angiography for Coronary Heart Disease Diagnosis
by: Bo Zhao, et al.
Published: (2025-01-01)