Radiogenomics: a key component of precision cancer medicine
Z Liu, T Duan, Y Zhang, S Weng, H Xu, Y Ren… - British Journal of …, 2023 - nature.com
Radiogenomics, focusing on the relationship between genomics and imaging phenotypes,
has been widely applied to address tumour heterogeneity and predict immune …
has been widely applied to address tumour heterogeneity and predict immune …
Brain tumor characterization using radiogenomics in artificial intelligence framework
Simple Summary Radiogenomics is a relatively new advancement in the understanding of
the biology and behaviour of cancer in response to conventional treatments. One of the most …
the biology and behaviour of cancer in response to conventional treatments. One of the most …
Emerging technologies for cancer therapy using accelerated particles
Cancer therapy with accelerated charged particles is one of the most valuable biomedical
applications of nuclear physics. The technology has vastly evolved in the past 50 years, the …
applications of nuclear physics. The technology has vastly evolved in the past 50 years, the …
Economics of artificial intelligence in healthcare: diagnosis vs. treatment
NN Khanna, MA Maindarkar, V Viswanathan… - Healthcare, 2022 - mdpi.com
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: a neuro-oncological investigation
Abstract Background The O6-methylguanine-DNA methyltransferase (MGMT) is a
deoxyribonucleic acid (DNA) repairing enzyme that has been established as an essential …
deoxyribonucleic acid (DNA) repairing enzyme that has been established as an essential …
An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers
J Xi, D Sun, C Chang, S Zhou, Q Huang - Computers in Biology and …, 2023 - Elsevier
The radiogenomics analysis can provide the connections between genomics and radiomics,
which can infer the genomic features of tumors from their radiogenomic associations through …
which can infer the genomic features of tumors from their radiogenomic associations through …
A survey on AI techniques for thoracic diseases diagnosis using medical images
Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
Application of artificial intelligence methods for imaging of spinal metastasis
Simple Summary Spinal metastasis is the most common malignant disease of the spine, and
its early diagnosis and treatment is important to prevent complications and improve quality of …
its early diagnosis and treatment is important to prevent complications and improve quality of …
UNet deep learning architecture for segmentation of vascular and non-vascular images: a microscopic look at UNet components buffered with pruning, explainable …
Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
A radiomics signature associated with underlying gene expression pattern for the prediction of prognosis and treatment response in hepatocellular carcinoma
D Wang, L Zhang, Z Sun, H Jiang, J Zhang - European Journal of Radiology, 2023 - Elsevier
Purpose Identifying robust prognosis and treatment efficiency predictive biomarkers of
hepatocellular carcinoma (HCC) is challenging. The purpose of this study is to develop a …
hepatocellular carcinoma (HCC) is challenging. The purpose of this study is to develop a …