Imagen de Portada

Interpretable Model Based on CT Radiomics and Deep Learning Features for Distinguishing Typical Signs of Secondary Pulmonary Tuberculosis

Fuente: Wiley Open Access

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhenzhen Wan, Peilin Wang, Ning Shi, Bing Wang, Ye li, Shidong Zhang, Dailun Hou, Xiuling Liu
Formato:	Artículo Open Access
Publicado:	Wiley 2025
Materias:	International Journal of Imaging Systems and Technology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Comprehensive Multitask Ensemble Segmentation and Clinical Interpretation of Pancreatic and Peripancreatic Anatomy With Radiomics and Deep Learning Features
por: Ming Jiang, et al.
Publicado: (2025)

Multiscale Three‐Dimensional Features and Spatial Feature Evaluation of Human Pulmonary Tuberculosis
por: Xiaojiang Zhao, et al.
Publicado: (2025)

Editorial for “Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation”
por: Grace McIlvain, et al.
Publicado: (2026)

From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection
por: Deng, Zengtian, et al.
Publicado: (2026)

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
por: Wang, Fangyijie, et al.
Publicado: (2025)

Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition
por: Zhou, Jing, et al.
Publicado: (2023)

Diagnosis of Sacroiliitis Through Semi‐Supervised Segmentation and Radiomics Feature Analysis of MRI Images
por: Lei Liu, et al.
Publicado: (2025)

Radiomics and Clinical Features in Predictive Modelling of Brain Metastases Recurrence
por: Faria, Ines, et al.
Publicado: (2025)

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation
por: Jingyu Zhong, et al.
Publicado: (2026)

Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases
por: Peoples, Jacob J., et al.
Publicado: (2025)

RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features
por: Na, Inye, et al.
Publicado: (2024)

Intertumoral Heterogeneity Based on MRI Radiomic Features Estimates Recurrence in Hepatocellular Carcinoma
por: Mengshi Dong, et al.
Publicado: (2024)

Precise Liver Tumor Segmentation in CT Using a Hybrid Deep Learning-Radiomics Framework
por: Li, Xuecheng, et al.
Publicado: (2025)

A Comparative Analysis of CT Degradation for LDCT Nodule Classification using Radiomics
por: Liu, Jiaying, et al.
Publicado: (2026)

CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study
por: Zhang, Tingrui, et al.
Publicado: (2025)

Editorial for “Reliability of 4D Flow MRI ‐Derived Pulmonary Regurgitant Fraction in Repaired Tetralogy of Fallot: Impact of Measurement Location and Pulmonary Artery Geometry”
por: Chenxi Shi, et al.
Publicado: (2025)

Editorial for “Association Between MRI‐Based Radiomics Features and Regional Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma and Its Clinical Outcome”
por: Qiang Wang, et al.
Publicado: (2024)

An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-based SAR ATR
por: Wang, Chenwei, et al.
Publicado: (2025)

EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT
por: Gupta, Shashwat, et al.
Publicado: (2025)

Utilizing Radiomics of Peri‐Lesional Edema in T2‐FLAIR Subtraction Digital Images to Distinguish High‐Grade Glial Tumors From Brain Metastasis
por: Emin Demirel, et al.
Publicado: (2024)

Non‐Invasive Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Combined Clinical, Radiomics, and Deep Learning Features
por: Jing Chen, et al.
Publicado: (2025)

The Association Between Tumor Radiomic Analysis and Peritumor Habitat‐Derived Radiomic Analysis on Gadoxetate Disodium‐Enhanced MRI With Microvascular Invasion in Hepatocellular Carcinoma
por: Cheng Wang, et al.
Publicado: (2024)

High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation
por: Ming, Ying, et al.
Publicado: (2025)

Association Between MRI‐Based Radiomics Features and Regional Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma and Its Clinical Outcome
por: Xianling Qian, et al.
Publicado: (2024)

Uncovering Latent Pathological Signatures in Pulmonary CT via Cross-Window Knowledge Distillation
por: Peng, Bo, et al.
Publicado: (2026)

Deep Learning Radiomic Analysis of MRI Combined with Clinical Characteristics Diagnoses Placenta Accreta Spectrum and its Subtypes
por: Changye Zheng, et al.
Publicado: (2024)

Preoperative Assessment of Extraprostatic Extension in Prostate Cancer Using an Interpretable Tabular Prior‐Data Fitted Network‐Based Radiomics Model From MRI
por: Bai‐Chuan Liu, et al.
Publicado: (2025)

Classification of Hepatic Nodules Using an Improved WOA‐SVM Radiomics Model
por: Haoyun Sun, et al.
Publicado: (2025)

Multiparametric MRI‐Based Deep Learning Radiomics Model for Assessing 5‐Year Recurrence Risk in Non‐Muscle Invasive Bladder Cancer
por: Haolin Huang, et al.
Publicado: (2024)

Peritumoral MRI Radiomics Features Increase the Evaluation Efficiency for Response to Chemotherapy in Patients With Epithelial Ovarian Cancer
por: Yong'ai Li, et al.
Publicado: (2024)

Editorial for “Association of Pathological Features and Multiparametric MRI‐Based Radiomics with TP53‐Mutated Prostate Cancer”
por: Satoru Takahashi
Publicado: (2024)

Assessment of Lung Nodule Detection and Lung CT Screening Reporting and Data System Classification Using Zero Echo Time Pulmonary MRI
por: Xinhui Wang, et al.
Publicado: (2024)

Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion
por: Zhou, Zekun, et al.
Publicado: (2025)

Radiomic Feature‐Based Prediction of Primary Cancer Origins in Brain Metastases Using Machine Learning
por: Dilek Betül Sarıdede, et al.
Publicado: (2025)

Association Analysis Between Intratumoral and Peritumoral MRI Radiomics Features and Overall Survival of Neoadjuvant Therapy in Rectal Cancer
por: Xiaofang Guo, et al.
Publicado: (2024)

Reproducible Radiomics Features from Multi‐MRI‐Scanner Test–Retest‐Study: Influence on Performance and Generalizability of Models
por: Markus Wennmann, et al.
Publicado: (2024)

Editorial for “Peritumoral MRI Radiomics Features Increase the Evaluation Efficiency for Response to Chemotherapy in Patients With Epithelial Ovarian Cancer”
por: Evgenia Efthymiou, et al.
Publicado: (2024)

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
por: Hong, Ziliang, et al.
Publicado: (2024)

Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation
por: Alsahanova, Nadezhda, et al.
Publicado: (2025)

Enhancing Nigrosome‐1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging
por: Chenglong Wang, et al.
Publicado: (2024)