[HTML][HTML] Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research
A Stefano - Computers in Biology and Medicine, 2024 - Elsevier
Radiomics, the high-throughput extraction of quantitative imaging features from medical
images, holds immense potential for advancing precision medicine in oncology and beyond …
images, holds immense potential for advancing precision medicine in oncology and beyond …
A review of deep learning techniques for lung cancer screening and diagnosis based on CT images
One of the most common and deadly diseases in the world is lung cancer. Only early
identification of lung cancer can increase a patient's probability of survival. A frequently used …
identification of lung cancer can increase a patient's probability of survival. A frequently used …
ME‐Net: multi‐encoder net framework for brain tumor segmentation
W Zhang, G Yang, H Huang, W Yang… - … Journal of Imaging …, 2021 - Wiley Online Library
MRI plays a vital role to evaluate brain tumor diagnosis and treatment planning. However,
the manual segmentation of the MRI image is strenuous. With the development of deep …
the manual segmentation of the MRI image is strenuous. With the development of deep …
Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset
Background Prostate volume, as determined by magnetic resonance imaging (MRI), is a
useful biomarker both for distinguishing between benign and malignant pathology and can …
useful biomarker both for distinguishing between benign and malignant pathology and can …
Deep learning-based COVID-19 detection system using pulmonary CT scans
One of the most significant pandemics has been raised in the form of Coronavirus disease
2019 (COVID19). Many researchers have faced various types of challenges for finding the …
2019 (COVID19). Many researchers have faced various types of challenges for finding the …
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images
Abstract Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first
reported in late 2019 that has spread worldwide. Although some wealthy countries have …
reported in late 2019 that has spread worldwide. Although some wealthy countries have …
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 learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Positron emission tomography/computed tomography (PET/CT) is increasingly used in
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …
A survey on artificial intelligence in pulmonary imaging
Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …
vision and image recognition creating widespread opportunities of using artificial …
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 …