- Impact of deep learning image reconstruction algorithms on CT ...🔍
- Machine|Learning Techniques Characterize Source|Rock Images at ...🔍
- Medical image analysis based on deep learning approach🔍
- Image|based biomass characterization🔍
- Deep learning image segmentation for the reliable porosity ...🔍
- A Combined Computer Vision and Deep Learning Approach for ...🔍
- Conditioning of deep|learning surrogate models to image data with ...🔍
- Advanced Deep Learning Strategies for the Analysis of Remote ...🔍
Task|based characterization of a deep learning image ...
Impact of deep learning image reconstruction algorithms on CT ...
Task-based characterization of a deep learning image reconstruction and ... Keywords: computed tomography, texture analysis, liver, deep learning, image ...
Machine-Learning Techniques Characterize Source-Rock Images at ...
In the complete paper, the author introduces methods for overcoming these challenges in image-based characterization of the fabric of shale ...
Medical image analysis based on deep learning approach
Deep Learning Approach (DLA) in medical image analysis emerges as a fast-growing research field. DLA has been widely used in medical imaging to ...
Image-based biomass characterization: Comparison of conventional ...
Image-based biomass characterization: Comparison of conventional image processing and a deep learning approach ... task, the CNN does not require prior ...
Deep learning image segmentation for the reliable porosity ...
The optimization of geometrical pore control in high-capacity Ni-based cathode materials is required to enhance the cyclic performance of ...
A Combined Computer Vision and Deep Learning Approach for ...
A Combined Computer Vision and Deep Learning Approach for Rapid Drone-Based Optical Characterization of Parabolic Troughs Paper No. 021008 · Abstract · NREL ...
Conditioning of deep-learning surrogate models to image data with ...
Conditioning of deep-learning surrogate models to image data with application to reservoir characterization ... based workflow to estimate the static ...
Advanced Deep Learning Strategies for the Analysis of Remote ...
In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing.
Deep learning-based characterization of ion implantation ...
Photo modulated optical reflectance (PMOR) is an ideal ultra-shallow junction area metrology technique for measurement of transistor dopant ...
A review of deep learning-based information fusion techniques for ...
3 describes the multimodal medical image classification task ... Transparency of deep neural networks for medical image analysis: A review of interpretability ...
Deep Learning–based Reconstruction for Lower-Dose Pediatric CT
The authors present an overview of the basic concept, tech- nical principles, and image characteristics of DLR and its clinical feasibility for low-dose ...
Influence of deep learning image reconstruction... - F1000Research
Based on the total scores obtained by each study, the studies were ... characterization of usual interstitial pneumonia (UIP), DLIR ...
Fine-grained landuse characterization using ground-based pictures
ABSTRACT. We study the problem of landuse characterization at the urban-object level using deep learning algorithms. Traditionally, this task is ...
Deep learning enables image-based tree counting, crown ...
1) and crown segmentation tasks (Task 2 in Fig. 1) from 2D imagery for both forest and nonforest trees (66). As input data, we used RGB and near-infrared ...
Evaluation of deep learning image reconstruction for brain - GUPEA
Evaluation of deep learning image reconstruction for brain- and abdominal CT - A visual grading characteristics study ... based on deep neural networks (DNN).
Effective Characterization of Fractured Media With PEDL: A Deep ...
A deep learning-based data assimilation method, named parameter estimator with deep learning (PEDL), is proposed to characterize fractured ...
Quantitative characterization of human breast tissue based on deep ...
Quantitative characterization of human breast tissue based on deep learning segmentation of 3D optical coherence tomography images. Yuwei Liu ...
Characterization of errors in deep learning-based brain MRI ...
Original language, English. Title of host publication, Deep learning for medical image analysis. Editors, S. Kevin Zhou, Hayit Greenspan, Dinggang Shen.
Comparison of conventional image processing and a deep learning ...
Image-based biomass characterization: Comparison of conventional image processing and a deep learning approach ... task, the CNN does not require prior ...
Deep Learning for Ultrasonic Crack Characterization in NDE
This demonstrates far superior crack characterization accuracy by using deep learning rather than traditional image-based sizing. Original ...