Evaluation of deep moonquake source parameters: Implication for fault characteristics and thermal state
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2016je005147
Abstract: While deep moonquakes are seismic events commonly observed on the Moon, their source mechanism is still unexplained. The two main issues are poorly constrained source parameters and incompatibilities between the thermal profiles suggested by many… read more here.
Keywords: moonquake source; source; source parameters; deep moonquake ... See more keywords
Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry
Sign Up to like & getrecommendations! Published in 2022 at "Clinical and Translational Radiation Oncology"
DOI: 10.1016/j.ctro.2021.10.003
Abstract: Highlights • mpMRI coupled to deep learning can generate reasonable OPC tumor segmentations.• Using multiple input channels may positively impact segmentation performance.• Deep learning segmentations were non-inferior to ground truth as per Turing test. read more here.
Keywords: segmentation; input; deep learning; learning based ... See more keywords
Quantum Chemical Evaluation of Deep Eutectic Solvents for the Extractive Desulfurization of Fuel
Sign Up to like & getrecommendations! Published in 2018 at "ACS Sustainable Chemistry & Engineering"
DOI: 10.1021/acssuschemeng.8b00224
Abstract: Sulfur compounds in fuels are converted to SOx during combustion, poisoning automotive catalytic converters and creating serious environmental concerns (e.g., acid rain). The efficient desulfurization of liquid fuel is thus a critical step toward minimizing… read more here.
Keywords: desulfurization; quantum chemical; desulfurization fuel; chemical evaluation ... See more keywords
An Evaluation of Deep Learning-Based Computer Generated Image Detection Approaches
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940383
Abstract: With the rapid development of Computer Graphics, the computer-generated images (CG) are almost as realistic as real photographs(PG) and it is difficult to distinguish between CG and PG accurately with the naked eye. Image is… read more here.
Keywords: evaluation deep; computer generated; image; computer ... See more keywords
Multicriteria Evaluation of Deep Neural Networks for Semantic Segmentation of Mammographies
Sign Up to like & getrecommendations! Published in 2021 at "Axioms"
DOI: 10.3390/axioms10030180
Abstract: Breast segmentation plays a vital role in the automatic analysis of mammograms. Accurate segmentation of the breast region increments the probability of a correct diagnostic and minimizes computational cost. Traditionally, model-based approaches dominated the landscape… read more here.
Keywords: multicriteria evaluation; breast; segmentation; semantic segmentation ... See more keywords
Performance Evaluation of Deep Learning Models on Mammogram Classification Using Small Dataset
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9040161
Abstract: Cancer is the second leading cause of death globally, and breast cancer (BC) is the second most reported cancer. Although the incidence rate is reducing in developed countries, the reverse is the case in low-… read more here.
Keywords: performance evaluation; learning models; evaluation deep; deep learning ... See more keywords