cnn-based system Search Results


cnn-based plant health detection  (Hydrofarm Inc)
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Hydrofarm Inc cnn-based plant health detection
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auto-zooming cnn-based framework for real-time pedestrian detection in outdoor surveillance videos  (IEEE Access)
90
IEEE Access auto-zooming cnn-based framework for real-time pedestrian detection in outdoor surveillance videos
Auto Zooming Cnn Based Framework For Real Time Pedestrian Detection In Outdoor Surveillance Videos, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cnn-based ai tool  (Panoptes Pharma GmbH)
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Panoptes Pharma GmbH cnn-based ai tool
Cnn Based Ai Tool, supplied by Panoptes Pharma GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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deep convolutional neural network (cnn)-based encoding model  (Murty Pharmaceuticals)
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Murty Pharmaceuticals deep convolutional neural network (cnn)-based encoding model
Deep Convolutional Neural Network (Cnn) Based Encoding Model, supplied by Murty Pharmaceuticals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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3d cnn based automatic diagnosis of attention deficit hyperactivity disorder  (IEEE Access)
90
IEEE Access 3d cnn based automatic diagnosis of attention deficit hyperactivity disorder
3d Cnn Based Automatic Diagnosis Of Attention Deficit Hyperactivity Disorder, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cnn-based pfn classifier  (Optellum Ltd)
90
Optellum Ltd cnn-based pfn classifier
Performance <t>of</t> <t>PFN-CNN</t> for the classification of typical PFNs
Cnn Based Pfn Classifier, supplied by Optellum Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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automated cnn-based tooth segmentation  (IEEE Access)
90
IEEE Access automated cnn-based tooth segmentation
Performance <t>of</t> <t>PFN-CNN</t> for the classification of typical PFNs
Automated Cnn Based Tooth Segmentation, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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prometeo: a cnn-based computer-aided diagnosis system  (IEEE Access)
90
IEEE Access prometeo: a cnn-based computer-aided diagnosis system
Performance <t>of</t> <t>PFN-CNN</t> for the classification of typical PFNs
Prometeo: A Cnn Based Computer Aided Diagnosis System, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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cnn-based blockmatching method  (Nuori Suomi Your Move)
90
Nuori Suomi Your Move cnn-based blockmatching method
Performance <t>of</t> <t>PFN-CNN</t> for the classification of typical PFNs
Cnn Based Blockmatching Method, supplied by Nuori Suomi Your Move, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cnn-based architecture remora  (Oxford Nanopore)
90
Oxford Nanopore cnn-based architecture remora
Performance <t>of</t> <t>PFN-CNN</t> for the classification of typical PFNs
Cnn Based Architecture Remora, supplied by Oxford Nanopore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cnn-based rna n6-methyladenosine site predictor  (IEEE Access)
90
IEEE Access cnn-based rna n6-methyladenosine site predictor
Performance <t>of</t> <t>PFN-CNN</t> for the classification of typical PFNs
Cnn Based Rna N6 Methyladenosine Site Predictor, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cnn-based cadx systems  (Cadx Systems Inc)
90
Cadx Systems Inc cnn-based cadx systems
Performance <t>of</t> <t>PFN-CNN</t> for the classification of typical PFNs
Cnn Based Cadx Systems, supplied by Cadx Systems Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Performance of PFN-CNN for the classification of typical PFNs

Journal: European Radiology

Article Title: Evaluation of a novel deep learning–based classifier for perifissural nodules

doi: 10.1007/s00330-020-07509-x

Figure Lengend Snippet: Performance of PFN-CNN for the classification of typical PFNs

Article Snippet: The CNN-based PFN classifier was developed by Optellum Ltd. and was initialized from a lung cancer prediction model trained on around 16,000 NLST nodule images, for the task of distinguishing malignant from benign nodules based on analyzing a cuboidal volume of CT data centered on each nodule.

Techniques:

Examples from the test dataset along with scores generated by the PFN-CNN

Journal: European Radiology

Article Title: Evaluation of a novel deep learning–based classifier for perifissural nodules

doi: 10.1007/s00330-020-07509-x

Figure Lengend Snippet: Examples from the test dataset along with scores generated by the PFN-CNN

Article Snippet: The CNN-based PFN classifier was developed by Optellum Ltd. and was initialized from a lung cancer prediction model trained on around 16,000 NLST nodule images, for the task of distinguishing malignant from benign nodules based on analyzing a cuboidal volume of CT data centered on each nodule.

Techniques: Generated

Examples from the test dataset along with scores generated by the PFN-CNN

Journal: European Radiology

Article Title: Evaluation of a novel deep learning–based classifier for perifissural nodules

doi: 10.1007/s00330-020-07509-x

Figure Lengend Snippet: Examples from the test dataset along with scores generated by the PFN-CNN

Article Snippet: The CNN-based PFN classifier was developed by Optellum Ltd. and was initialized from a lung cancer prediction model trained on around 16,000 NLST nodule images, for the task of distinguishing malignant from benign nodules based on analyzing a cuboidal volume of CT data centered on each nodule.

Techniques: Generated