Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
This brief review summarizes the major applications of artificial intelligence (AI), in particular
deep learning approaches, in molecular imaging and radiation therapy research. To this …
deep learning approaches, in molecular imaging and radiation therapy research. To this …
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
This study presents a comprehensive systematic review focusing on the applications of deep
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …
Artificial intelligence in lung cancer imaging: unfolding the future
M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …
an essential role in each phase of lung cancer management, from detection to assessment …
Prediction and classification of lung cancer using machine learning techniques
P Chaturvedi, A Jhamb, M Vanani… - IOP conference series …, 2021 - iopscience.iop.org
In all the disease that have existed in mankind lung cancer has emerged as one of the most
fata one time and again. Also, it is one of the most common and contributing to deaths …
fata one time and again. Also, it is one of the most common and contributing to deaths …
Deep learning for segmentation in radiation therapy planning: a review
Segmentation of organs and structures, as either targets or organs‐at‐risk, has a significant
influence on the success of radiation therapy. Manual segmentation is a tedious and time …
influence on the success of radiation therapy. Manual segmentation is a tedious and time …
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Abstract COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million
fatalities as of December 21, 2020. The primary cause of death due to COVID-19 is Acute …
fatalities as of December 21, 2020. The primary cause of death due to COVID-19 is Acute …
CNN-based method for lung cancer detection in whole slide histopathology images
Early diagnosis of lung cancer is critical for improvement of patient survival.
Histopathological assessment of tissue is standard procedure needed for early diagnosis …
Histopathological assessment of tissue is standard procedure needed for early diagnosis …
The added value of PSMA PET/MR radiomics for prostate cancer staging
Purpose To evaluate the performance of combined PET and multiparametric MRI (mpMRI)
radiomics for the group-wise prediction of postsurgical Gleason scores (psGSs) in primary …
radiomics for the group-wise prediction of postsurgical Gleason scores (psGSs) in primary …
Clinical application of AI-based PET images in oncological patients
J Dai, H Wang, Y Xu, X Chen, R Tian - Seminars in Cancer Biology, 2023 - Elsevier
Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …
Update on viral gene therapy clinical trials for retinal diseases
In 2001, the first large animal was successfully treated with a gene therapy that restored its
vision. Lancelot, the Briard dog that was treated, suffered from a human childhood blindness …
vision. Lancelot, the Briard dog that was treated, suffered from a human childhood blindness …