A review of principal component analysis algorithm for dimensionality reduction
BMS Hasan, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Big databases are increasingly widespread and are therefore hard to understand, in
exploratory biomedicine science, big data in health research is highly exciting because data …
exploratory biomedicine science, big data in health research is highly exciting because data …
[HTML][HTML] Machine learning in agriculture: A review
Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …
to create new opportunities for data intensive science in the multi-disciplinary agri …
[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
Current applications and future impact of machine learning in radiology
Recent advances and future perspectives of machine learning techniques offer promising
applications in medical imaging. Machine learning has the potential to improve different …
applications in medical imaging. Machine learning has the potential to improve different …
[HTML][HTML] Deep learning for lung cancer prognostication: a retrospective multi-cohort radiomics study
Background Non-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical
courses and outcomes, even within the same tumor stage. This study explores deep …
courses and outcomes, even within the same tumor stage. This study explores deep …
[HTML][HTML] Early lung cancer diagnostic biomarker discovery by machine learning methods
Early diagnosis has been proved to improve survival rate of lung cancer patients. The
availability of blood-based screening could increase early lung cancer patient uptake. Our …
availability of blood-based screening could increase early lung cancer patient uptake. Our …
[HTML][HTML] Deep learning with radiomics for disease diagnosis and treatment: challenges and potential
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …
Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis
A Zwanenburg - European journal of nuclear medicine and molecular …, 2019 - Springer
Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …
multicentre settings is an important criterion for clinical translation. We therefore performed a …
Histologic subtype classification of non-small cell lung cancer using PET/CT images
Y Han, Y Ma, Z Wu, F Zhang, D Zheng, X Liu… - European journal of …, 2021 - Springer
Purposes To evaluate the capability of PET/CT images for differentiating the histologic
subtypes of non-small cell lung cancer (NSCLC) and to identify the optimal model from …
subtypes of non-small cell lung cancer (NSCLC) and to identify the optimal model from …
[HTML][HTML] Overview of radiomics in breast cancer diagnosis and prognostication
Diagnosis of early invasive breast cancer relies on radiology and clinical evaluation,
supplemented by biopsy confirmation. At least three issues burden this approach: a) …
supplemented by biopsy confirmation. At least three issues burden this approach: a) …