[HTML][HTML] Radiomics and artificial intelligence in lung cancer screening
F Binczyk, W Prazuch, P Bozek… - Translational lung cancer …, 2021 - ncbi.nlm.nih.gov
Lung cancer is responsible for more fatalities than any other cancer worldwide, with 1.76
million associated deaths reported in 2018. The key issue in the fight against this disease is …
million associated deaths reported in 2018. The key issue in the fight against this disease is …
Prostate cancer radiogenomics—from imaging to molecular characterization
Radiomics and genomics represent two of the most promising fields of cancer research,
designed to improve the risk stratification and disease management of patients with prostate …
designed to improve the risk stratification and disease management of patients with prostate …
Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach
Prediction of breast tumour malignancy using ultrasound imaging, is an important step for
early detection of breast cancer. An efficient prediction system can be a great help to …
early detection of breast cancer. An efficient prediction system can be a great help to …
Prediction of tumor grade and nodal status in oropharyngeal and oral cavity squamous-cell carcinoma using a radiomic approach
Background/Aim: To investigate whether a radiomic machine learning (ML) approach
employing texture-analysis (TA) features extracted from primary tumor lesions (PTLs) is able …
employing texture-analysis (TA) features extracted from primary tumor lesions (PTLs) is able …
Deep learning-based methods for prostate segmentation in magnetic resonance imaging
Featured Application The study demonstrates that high-speed deep learning networks could
perform accurate prostate delineation facilitating the adoption of novel imaging parameters …
perform accurate prostate delineation facilitating the adoption of novel imaging parameters …
Deep myometrial infiltration of endometrial cancer on MRI: a radiomics-powered machine learning pilot study
Rationale and Objectives To evaluate an MRI radiomics-powered machine learning (ML)
model's performance for the identification of deep myometrial invasion (DMI) in endometrial …
model's performance for the identification of deep myometrial invasion (DMI) in endometrial …
[HTML][HTML] Segmentation of the prostate, its zones, anterior fibromuscular stroma, and urethra on the MRIs and multimodality image fusion using U-Net model
Background Due to the large variability in the prostate gland of different patient groups,
manual segmentation is time-consuming and subject to inter-and intra-reader variations …
manual segmentation is time-consuming and subject to inter-and intra-reader variations …
Radiomics and prostate MRI: current role and future applications
Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage
test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined …
test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined …
Customized efficient neural network for COVID-19 infected region identification in CT images
Background: In the field of biomedical imaging, radiomics is a promising approach that aims
to provide quantitative features from images. It is highly dependent on accurate identification …
to provide quantitative features from images. It is highly dependent on accurate identification …
Prostate health index and multiparametric MRI: partners in crime fighting overdiagnosis and overtreatment in prostate cancer
Simple Summary In the last decades, the widespread use of PSA as the standard tool for
prostate cancer diagnosis led to a high rate of overdiagnosis and overtreatment. More …
prostate cancer diagnosis led to a high rate of overdiagnosis and overtreatment. More …