Artificial intelligence applications in prostate cancer
Artificial intelligence (AI) applications have enabled remarkable advancements in healthcare
delivery. These AI tools are often aimed to improve accuracy and efficiency of histopathology …
delivery. These AI tools are often aimed to improve accuracy and efficiency of histopathology …
Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
AI is a broad concept, grouping initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …
usually require a human to complete. AI methods are well suited to predict clinical outcomes …
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN
Q Guan, Y Chen, Z Wei, AA Heidari, H Hu… - Computers in Biology …, 2022 - Elsevier
Lesion detectors based on deep learning can assist doctors in diagnosing diseases.
However, the performance of current detectors is likely to be unsatisfactory due to the …
However, the performance of current detectors is likely to be unsatisfactory due to the …
Deep learning for radiotherapy outcome prediction using dose data–a review
Artificial intelligence, and in particular deep learning using convolutional neural networks,
has been used extensively for image classification and segmentation, including on medical …
has been used extensively for image classification and segmentation, including on medical …
[HTML][HTML] Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer
Introduction Emerging evidence suggests that data-driven support tools have found their
way into clinical decision-making in a number of areas, including cancer care. Improving …
way into clinical decision-making in a number of areas, including cancer care. Improving …
[PDF][PDF] Machine learning theory in building energy modeling and optimization: a bibliometric analysis
In recent decades, the machine learning theory has been developed in the field of artificial
intelligence (AI), as it excludes all shortcomings of manpower, performs complex …
intelligence (AI), as it excludes all shortcomings of manpower, performs complex …
Comparison of atlas-based and deep learning methods for organs at risk delineation on head-and-neck CT images using an automated treatment planning system
M Costea, A Zlate, M Durand, T Baudier… - Radiotherapy and …, 2022 - Elsevier
Background and purpose To investigate the performance of head-and-neck (HN) organs-at-
risk (OAR) automatic segmentation (AS) using four atlas-based (ABAS) and two deep …
risk (OAR) automatic segmentation (AS) using four atlas-based (ABAS) and two deep …
deepPERFECT: novel deep learning CT synthesis method for expeditious pancreatic cancer radiotherapy
Simple Summary Pancreatic cancer is a devastating disease with more than 60,000 new
cases each year and a less than 10 percent 3-year overall survival rate. Radiation therapy is …
cases each year and a less than 10 percent 3-year overall survival rate. Radiation therapy is …
Current status and future developments in predicting outcomes in radiation oncology
Advancements in data-driven technologies and the inclusion of information-rich multiomics
features have significantly improved the performance of outcomes modeling in radiation …
features have significantly improved the performance of outcomes modeling in radiation …
Applications of artificial intelligence in stereotactic body radiation therapy
P Mancosu, N Lambri, I Castiglioni, D Dei… - Physics in Medicine …, 2022 - iopscience.iop.org
This topical review focuses on the applications of artificial intelligence (AI) tools to
stereotactic body radiation therapy (SBRT). The high dose per fraction and the limited …
stereotactic body radiation therapy (SBRT). The high dose per fraction and the limited …