cnns Search Results


3d-convolutional neural networks (cnns)  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare 3d-convolutional neural networks (cnns)
3d Convolutional Neural Networks (Cnns), supplied by Johns Hopkins HealthCare, 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/3d-convolutional neural networks (cnns)/product/Johns Hopkins HealthCare
Average 90 stars, based on 1 article reviews
3d-convolutional neural networks (cnns) - by Bioz Stars, 2026-03
90/100 stars
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convolutional neural networks  (Atomwise Inc)
90
Atomwise Inc convolutional neural networks
Convolutional Neural Networks, supplied by Atomwise 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/convolutional neural networks/product/Atomwise Inc
Average 90 stars, based on 1 article reviews
convolutional neural networks - by Bioz Stars, 2026-03
90/100 stars
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cnns bases single shot multibox detector  (Hirasawa Works)
90
Hirasawa Works cnns bases single shot multibox detector
Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.
Cnns Bases Single Shot Multibox Detector, supplied by Hirasawa Works, 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/cnns bases single shot multibox detector/product/Hirasawa Works
Average 90 stars, based on 1 article reviews
cnns bases single shot multibox detector - by Bioz Stars, 2026-03
90/100 stars
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cnns based text normalizer  (Kaggle Inc)
90
Kaggle Inc cnns based text normalizer
Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.
Cnns Based Text Normalizer, supplied by Kaggle 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/cnns based text normalizer/product/Kaggle Inc
Average 90 stars, based on 1 article reviews
cnns based text normalizer - by Bioz Stars, 2026-03
90/100 stars
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cnn model  (Deepak Inc)
90
Deepak Inc cnn model
Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.
Cnn Model, supplied by Deepak 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 model/product/Deepak Inc
Average 90 stars, based on 1 article reviews
cnn model - by Bioz Stars, 2026-03
90/100 stars
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3d steerable cnns  (Curran Associates Inc)
90
Curran Associates Inc 3d steerable cnns
Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.
3d Steerable Cnns, supplied by Curran Associates 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/3d steerable cnns/product/Curran Associates Inc
Average 90 stars, based on 1 article reviews
3d steerable cnns - by Bioz Stars, 2026-03
90/100 stars
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cnns  (Citius Pharmaceuticals)
90
Citius Pharmaceuticals cnns
Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.
Cnns, supplied by Citius Pharmaceuticals, 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/cnns/product/Citius Pharmaceuticals
Average 90 stars, based on 1 article reviews
cnns - by Bioz Stars, 2026-03
90/100 stars
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convolutional neural networks (cnns)  (SVision LLC)
90
SVision LLC convolutional neural networks (cnns)
Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.
Convolutional Neural Networks (Cnns), supplied by SVision LLC, 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/convolutional neural networks (cnns)/product/SVision LLC
Average 90 stars, based on 1 article reviews
convolutional neural networks (cnns) - by Bioz Stars, 2026-03
90/100 stars
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3d convolutional neural networks (cnns)  (TriPath Inc)
90
TriPath Inc 3d convolutional neural networks (cnns)
Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.
3d Convolutional Neural Networks (Cnns), supplied by TriPath 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/3d convolutional neural networks (cnns)/product/TriPath Inc
Average 90 stars, based on 1 article reviews
3d convolutional neural networks (cnns) - by Bioz Stars, 2026-03
90/100 stars
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two-dimensional (2d) convolutional neural networks (cnns)  (Cadx Systems Inc)
90
Cadx Systems Inc two-dimensional (2d) convolutional neural networks (cnns)
Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.
Two Dimensional (2d) Convolutional Neural Networks (Cnns), 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
https://www.bioz.com/result/two-dimensional (2d) convolutional neural networks (cnns)/product/Cadx Systems Inc
Average 90 stars, based on 1 article reviews
two-dimensional (2d) convolutional neural networks (cnns) - by Bioz Stars, 2026-03
90/100 stars
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encoder-decoder cnns  (European XFEL GmbH)
90
European XFEL GmbH encoder-decoder cnns
( A – E ) Comparing input distributions to the CNN predictions reconstructed from the predicted PCA component coefficients. 5 examples were chosen from the 1000 test distributions and show the <t>CNN’s</t> best prediction ( A ), worst prediction ( E ), and a uniformly spaced range between ( B – D ). ( F ) The CNN’s prediction is shown for an experimentally measured beam output and compared to the experimentally measured beam input. ( G ) Results of the prediction from ( F ) fine tuned via ES.
Encoder Decoder Cnns, supplied by European XFEL GmbH, 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/encoder-decoder cnns/product/European XFEL GmbH
Average 90 stars, based on 1 article reviews
encoder-decoder cnns - by Bioz Stars, 2026-03
90/100 stars
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pre-training convolutional neural networks (cnns)  (Epigenomics ag)
90
Epigenomics ag pre-training convolutional neural networks (cnns)
( A – E ) Comparing input distributions to the CNN predictions reconstructed from the predicted PCA component coefficients. 5 examples were chosen from the 1000 test distributions and show the <t>CNN’s</t> best prediction ( A ), worst prediction ( E ), and a uniformly spaced range between ( B – D ). ( F ) The CNN’s prediction is shown for an experimentally measured beam output and compared to the experimentally measured beam input. ( G ) Results of the prediction from ( F ) fine tuned via ES.
Pre Training Convolutional Neural Networks (Cnns), supplied by Epigenomics ag, 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/pre-training convolutional neural networks (cnns)/product/Epigenomics ag
Average 90 stars, based on 1 article reviews
pre-training convolutional neural networks (cnns) - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.

Journal: Cancers

Article Title: Scope of Artificial Intelligence in Gastrointestinal Oncology

doi: 10.3390/cancers13215494

Figure Lengend Snippet: Studies showing the application of AI in the early detection of esophageal cancer by imaging. AUC: Area under the receiver operating characteristic curve, BLI: Blue-laser imaging, BE: Barrett’s esophagus, CAD: Computer-aided detection, CNN: Convolutional Neural Networks, DNN-CAD: Deep neural network computer-aided network, HRME: High-resolution micro endoscopy, MICCAI: Medical Image Computing and Computer-Assisted Intervention, NBI: Narrow-Band imaging, SVM: Support vector machine, VLE: Volumetric laser endomicroscopy, WLI: White light images.

Article Snippet: Hirasawa 2018 [ ] , 13584 endoscopic images, gastric cancer , CNNS bases single shot Multibox Detector , WLE, NBI and chromoendoscopy , Sensitivity 92.2%.

Techniques: Biomarker Discovery, Imaging, Plasmid Preparation, Labeling, Diagnostic Assay

Studies showing application of AI in early detection of gastric cancer by imaging. AUC: Area under the curve, JDPCA: Joint diagonalization principal component analysis, BLI: Blue-laser imaging, CNN: Convolutional neural networks, CNN-CAD: Convolutional neural network computer aided-diagnosis, G2LCM: Gabor-based gray-level co-occurrence matrix, GLCM: gray-level co-occurrence matrix, LCI: linked color imaging, NBI: Narrow-band imaging, RNN: recurrent neural networks, SVM: Support vector machine, WLI: white light imaging.

Journal: Cancers

Article Title: Scope of Artificial Intelligence in Gastrointestinal Oncology

doi: 10.3390/cancers13215494

Figure Lengend Snippet: Studies showing application of AI in early detection of gastric cancer by imaging. AUC: Area under the curve, JDPCA: Joint diagonalization principal component analysis, BLI: Blue-laser imaging, CNN: Convolutional neural networks, CNN-CAD: Convolutional neural network computer aided-diagnosis, G2LCM: Gabor-based gray-level co-occurrence matrix, GLCM: gray-level co-occurrence matrix, LCI: linked color imaging, NBI: Narrow-band imaging, RNN: recurrent neural networks, SVM: Support vector machine, WLI: white light imaging.

Article Snippet: Hirasawa 2018 [ ] , 13584 endoscopic images, gastric cancer , CNNS bases single shot Multibox Detector , WLE, NBI and chromoendoscopy , Sensitivity 92.2%.

Techniques: Biomarker Discovery, Imaging, Plasmid Preparation, Infection

( A – E ) Comparing input distributions to the CNN predictions reconstructed from the predicted PCA component coefficients. 5 examples were chosen from the 1000 test distributions and show the CNN’s best prediction ( A ), worst prediction ( E ), and a uniformly spaced range between ( B – D ). ( F ) The CNN’s prediction is shown for an experimentally measured beam output and compared to the experimentally measured beam input. ( G ) Results of the prediction from ( F ) fine tuned via ES.

Journal: Scientific Reports

Article Title: An adaptive approach to machine learning for compact particle accelerators

doi: 10.1038/s41598-021-98785-0

Figure Lengend Snippet: ( A – E ) Comparing input distributions to the CNN predictions reconstructed from the predicted PCA component coefficients. 5 examples were chosen from the 1000 test distributions and show the CNN’s best prediction ( A ), worst prediction ( E ), and a uniformly spaced range between ( B – D ). ( F ) The CNN’s prediction is shown for an experimentally measured beam output and compared to the experimentally measured beam input. ( G ) Results of the prediction from ( F ) fine tuned via ES.

Article Snippet: Recently encoder-decoder CNNs have also been demonstrated with measured beam data at the European XFEL to provide extremely high accuracy (768 × 1064 pixel images) predictions of the beam’s LPS and have also demonstrated an innovative method in which once the decoder half is trained and fixed, multiple different encoders can be used for various working points without having to re-train the decoder .

Techniques: