Preoperative prediction of axillary lymph node metastasis in breast cancer using mammography-based radiomics method
It is difficult to accurately assess axillary lymph nodes metastasis and the diagnosis of
axillary lymph nodes in patients with breast cancer is invasive and has low-sensitivity …
axillary lymph nodes in patients with breast cancer is invasive and has low-sensitivity …
[HTML][HTML] Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer
Pre-treatment survival prediction plays a key role in many diseases. We aimed to determine
the prognostic value of pre-treatment Magnetic Resonance Imaging (MRI) based radiomic …
the prognostic value of pre-treatment Magnetic Resonance Imaging (MRI) based radiomic …
MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study
H Chen, X Zhang, X Wang, X Quan, Y Deng, M Lu… - European …, 2021 - Springer
Objective To develop and validate a radiomics signature based on magnetic resonance
imaging (MRI) from multicenter datasets for preoperative prediction of pathologic response …
imaging (MRI) from multicenter datasets for preoperative prediction of pathologic response …
CT-based radiomics nomogram may predict local recurrence-free survival in esophageal cancer patients receiving definitive chemoradiation or radiotherapy: A …
J Gong, W Zhang, W Huang, Y Liao, Y Yin, M Shi… - Radiotherapy and …, 2022 - Elsevier
Background and purpose To establish and validate a contrast-enhanced computed
tomography-based hybrid radiomics nomogram for prediction of local recurrence-free …
tomography-based hybrid radiomics nomogram for prediction of local recurrence-free …
Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions
Artificial Intelligence (AI) is a branch of computer science that utilizes optimization,
probabilistic and statistical approaches to analyze and make predictions based on a vast …
probabilistic and statistical approaches to analyze and make predictions based on a vast …
Glaucoma characterization by machine learning of tear metabolic fingerprinting
Glaucoma is a common optic neuropathy disease affecting over 76 million people. Both
timely diagnosis and progression monitoring are critical but challenging. Conventional …
timely diagnosis and progression monitoring are critical but challenging. Conventional …
Multiparametric MRI-based radiomics analysis for prediction of breast cancers insensitive to neoadjuvant chemotherapy
Purpose To evaluate the value of multiparametric magnetic resonance imaging (MRI) in
pretreatment prediction of breast cancers insensitive to neoadjuvant chemotherapy (NAC) …
pretreatment prediction of breast cancers insensitive to neoadjuvant chemotherapy (NAC) …
Radiomics in radiooncology–challenging the medical physicist
Purpose Noticing the fast growing translation of artificial intelligence (AI) technologies to
medical image analysis this paper emphasizes the future role of the medical physicist in this …
medical image analysis this paper emphasizes the future role of the medical physicist in this …
Radiomics and magnetic resonance imaging of rectal cancer: from engineering to clinical practice
F Coppola, V Giannini, M Gabelloni, J Panic… - Diagnostics, 2021 - mdpi.com
While cross-sectional imaging has seen continuous progress and plays an undiscussed
pivotal role in the diagnostic management and treatment planning of patients with rectal …
pivotal role in the diagnostic management and treatment planning of patients with rectal …
Texture analysis imaging “what a clinical radiologist needs to know”
Texture analysis has arisen as a tool to explore the amount of data contained in images that
cannot be explored by humans visually. Radiomics is a method that extracts a large number …
cannot be explored by humans visually. Radiomics is a method that extracts a large number …