multi-feature guided convolutional neural network (cnn) Search Results


multi-feature guided convolutional neural network (cnn)  (MathWorks Inc)
90
MathWorks Inc multi-feature guided convolutional neural network (cnn)
<t>Convolutional</t> <t>neural</t> <t>network</t> .
Multi Feature Guided Convolutional Neural Network (Cnn), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/multi-feature guided convolutional neural network (cnn)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
multi-feature guided convolutional neural network (cnn) - by Bioz Stars, 2026-04
90/100 stars
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cnn features  (Multimed Inc)
90
Multimed Inc cnn features
<t>Convolutional</t> <t>neural</t> <t>network</t> .
Cnn Features, supplied by Multimed Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cnn features/product/Multimed Inc
Average 90 stars, based on 1 article reviews
cnn features - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Convolutional neural network .

Journal: Diagnostics

Article Title: Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions

doi: 10.3390/diagnostics10100781

Figure Lengend Snippet: Convolutional neural network .

Article Snippet: Puyang Wang et al. [ ] , Custom developed US images based (519 Samples) , CNN , Multi-Feature Guided Convolutional Neural Network (CNN) , MATLAB , Recall = 0.97 Precision = 0.965 F-score = 0.968.

Techniques:

Structure of filter-layer-guided convolutional neural network (CNN) .

Journal: Diagnostics

Article Title: Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions

doi: 10.3390/diagnostics10100781

Figure Lengend Snippet: Structure of filter-layer-guided convolutional neural network (CNN) .

Article Snippet: Puyang Wang et al. [ ] , Custom developed US images based (519 Samples) , CNN , Multi-Feature Guided Convolutional Neural Network (CNN) , MATLAB , Recall = 0.97 Precision = 0.965 F-score = 0.968.

Techniques:

Overview of recent studies for segmentation using deep learning.

Journal: Diagnostics

Article Title: Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions

doi: 10.3390/diagnostics10100781

Figure Lengend Snippet: Overview of recent studies for segmentation using deep learning.

Article Snippet: Puyang Wang et al. [ ] , Custom developed US images based (519 Samples) , CNN , Multi-Feature Guided Convolutional Neural Network (CNN) , MATLAB , Recall = 0.97 Precision = 0.965 F-score = 0.968.

Techniques: Standard Deviation

Overview of recent deep-learning development for prediction.

Journal: Diagnostics

Article Title: Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions

doi: 10.3390/diagnostics10100781

Figure Lengend Snippet: Overview of recent deep-learning development for prediction.

Article Snippet: Puyang Wang et al. [ ] , Custom developed US images based (519 Samples) , CNN , Multi-Feature Guided Convolutional Neural Network (CNN) , MATLAB , Recall = 0.97 Precision = 0.965 F-score = 0.968.

Techniques: Plasmid Preparation, Software

Overview of recent deep-learning development for classification.

Journal: Diagnostics

Article Title: Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions

doi: 10.3390/diagnostics10100781

Figure Lengend Snippet: Overview of recent deep-learning development for classification.

Article Snippet: Puyang Wang et al. [ ] , Custom developed US images based (519 Samples) , CNN , Multi-Feature Guided Convolutional Neural Network (CNN) , MATLAB , Recall = 0.97 Precision = 0.965 F-score = 0.968.

Techniques: Blocking Assay