Research graph
References from Ultrasound-Based Habitat Radiomics for Differentiating Phyllodes Tumor from Breast Fibroadenoma. Local targets link to admitted publications; unresolved targets remain external evidence.
The 2019 World Health Organization classification of tumours of the breast
10.1111/his.14091 · 2020 · External reference
Fibroepithelial lesions, including fibroadenoma and phyllodes tumor
2006 · External reference
Phyllodes tumours of the breast: a consensus review
10.1111/his.12876 · 2016 · External reference
Difficulties in the pre-operative diagnosis of phyllodes tumours of the breast: a study of 84 cases
10.1016/j.breast.2006.05.004 · 2007 · External reference
Contemporary management of phyllodes tumours of the breast: recommendations from the UK Association of Breast Surgery
10.1093/bjs/znaf152 · 2025 · External reference
Sonographic features of phyllodes tumors of the breast
10.1046/j.1469-0705.2002.00736.x · 2002 · External reference
Optimising preoperative diagnosis in phyllodes tumour of the breast
10.1136/jcp.2005.025866 · 2006 · External reference
Accuracy and underestimation of malignancy of breast core needle biopsy: the Florence experience of over 4000 consecutive biopsies
10.1007/s10549-006-9289-6 · 2007 · External reference
Comparative study of histological features between core needle biopsy and surgical excision in phyllodes tumor
10.1111/j.1440-1827.2011.02761.x · 2012 · External reference
Fibroepithelial lesions with cellular stroma on breast core needle biopsy: are there predictors of outcome on surgical excision?
10.1309/5n2c4n5xcb8xw8jl · 2005 · External reference
Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies
10.1007/s00432-023-04956-z · 2023 · External reference
Artificial intelligence in breast ultrasound: application in clinical practice
10.14366/usg.23116 · 2024 · External reference
Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging
10.1117/1.jmi.7.4.044502 · 2020 · External reference
Radiomic signatures derived from multiparametric MRI for the pretreatment prediction of response to neoadjuvant chemotherapy in breast cancer
10.1259/bjr.20200287 · 2020 · External reference
Radiomics of multiparametric MRI for pretreatment prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study
10.1158/1078-0432.ccr-18-3190 · 2019 · External reference
A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer
10.1007/s12282-020-01202-z · 2021 · External reference
MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas
10.1007/s00330-021-08510-8 · 2022 · External reference
Value of conventional MRI texture analysis in the differential diagnosis of phyllodes tumors and fibroadenomas of the breast
10.1159/000508456 · 2021 · External reference
Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic study
10.1093/bjr/tqae147 · 2024 · External reference
Differentiation between phyllodes tumors and fibroadenomas through breast ultrasound: deep-learning model outperforms ultrasound physicians
10.3390/s23115099 · 2023 · External reference
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study
10.1186/s40644-025-00879-9 · 2025 · External reference
Quantitative imaging in cancer evolution and ecology
10.1148/radiol.13122697 · 2013 · External reference
Cancer heterogeneity and imaging
10.1016/j.semcdb.2016.10.001 · 2017 · External reference
Multiparametric analysis of longitudinal quantitative MRI data to identify distinct tumor habitats in preclinical models of breast cancer
10.3390/cancers12061682 · 2020 · External reference
DCE-MRI and DWI integration for breast lesions assessment and heterogeneity quantification
10.1155/2012/676808 · 2012 · External reference
Intratumor partitioning and texture analysis of dynamic contrast-enhanced MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy
10.1002/jmri.25279 · 2016 · External reference
Data-driven mapping of hypoxia-related tumor heterogeneity using DCE-MRI and OE-MRI
10.1002/mrm.26860 · 2018 · External reference
Delineation of tumor habitats based on dynamic contrast-enhanced MRI
10.1038/s41598-017-09932-5 · 2017 · External reference
Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results
10.1593/tlo.13730 · 2014 · External reference
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer
10.1186/s12880-025-01551-1 · 2025 · External reference
Explainable PET-based habitat and peritumoral machine learning model for predicting progression-free survival in clinical stage IA pure-solid non-small cell lung cancer: a two-center study
10.1016/j.acra.2024.12.038 · 2025 · External reference
Explainable fusion model for predicting postoperative early recurrence in hepatocellular carcinoma using gadoxetic acid-enhanced MRI habitat imaging
10.1016/j.acra.2025.04.018 · 2025 · External reference
Multi-dimensional interpretable deep learning-radiomics based on intra-tumoral and spatial habitat for preoperative prediction of thymic epithelial tumours risk categorisation
10.2340/1651-226x.2025.42982 · 2025 · External reference
Multi-parametric MRI habitat radiomics based on interpretable machine learning for preoperative assessment of microsatellite instability in rectal cancer
10.1016/j.acra.2025.02.009 · 2025 · External reference
Interpretable prognostic modeling for postoperative pancreatic cancer using multi-machine learning and habitat radiomics: a multi-center study
10.1016/j.acra.2025.04.025 · 2025 · External reference
Spatial heterogeneity of edema region uncovers survival-relevant habitat of glioblastoma
10.1016/j.ejrad.2022.110423 · 2022 · External reference
Pathophysiological mapping of tumor habitats in the breast in DCE-MRI using molecular texture descriptor
10.1016/j.compbiomed.2019.01.017 · 2019 · External reference
Stable and discriminatory radiomic features from the tumor and its habitat associated with progression-free survival in glioblastoma: a multi-institutional study
10.3174/ajnr.a7591 · 2022 · External reference
Computational radiomics system to decode the radiographic phenotype
10.1158/0008-5472.can-17-0339 · 2017 · External reference
The Image Biomarker Standardization Initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
10.1148/radiol.2020191145 · 2020 · External reference
A guideline of selecting and reporting intraclass correlation coefficients for reliability research
10.1016/j.jcm.2016.02.012 · 2016 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
Decision curve analysis: a novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006 · External reference
Ultrasonography and core needle biopsy in the differential diagnosis of fibroadenoma and tumor phyllodes
10.1080/02841850701367911 · 2007 · External reference
Differentiation between phyllodes tumors and fibroadenomas based on mammographic, sonographic, and MRI features
10.1159/000444377 · 2016 · External reference
