cnn based model Search Results


cnn based model  (IEEE Access)
90
IEEE Access cnn based model
Cnn Based Model, 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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modified skip connection-based cnn model  (Kaggle Inc)
90
Kaggle Inc modified skip connection-based cnn model
Modified Skip Connection Based Cnn Model, 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/modified skip connection-based cnn model/product/Kaggle Inc
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cnn-based deep learning model pfabnet  (Pfizer Inc)
90
Pfizer Inc cnn-based deep learning model pfabnet
Cnn Based Deep Learning Model Pfabnet, supplied by Pfizer 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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deep convolutional neural network (cnn)-based encoding model  (Murty Pharmaceuticals)
90
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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Average 90 stars, based on 1 article reviews
deep convolutional neural network (cnn)-based encoding model - by Bioz Stars, 2026-03
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panoptes-based multi-resolution cnn models  (Panoptes Pharma GmbH)
90
Panoptes Pharma GmbH panoptes-based multi-resolution cnn models
Panoptes Based Multi Resolution Cnn Models, 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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character based cnn-bidirectional lstm-crf model  (Mainichi Newspapers Co)
90
Mainichi Newspapers Co character based cnn-bidirectional lstm-crf model
Character Based Cnn Bidirectional Lstm Crf Model, supplied by Mainichi Newspapers Co, 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/character based cnn-bidirectional lstm-crf model/product/Mainichi Newspapers Co
Average 90 stars, based on 1 article reviews
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cnn-based oral mucosa risk stratification model (omrs)  (XINYI BIOTECHNOLOGY CO LTD)
90
XINYI BIOTECHNOLOGY CO LTD cnn-based oral mucosa risk stratification model (omrs)
Cnn Based Oral Mucosa Risk Stratification Model (Omrs), supplied by XINYI BIOTECHNOLOGY CO 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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Average 90 stars, based on 1 article reviews
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classifier-based implementation of existing cnn models  (SoftMax Inc)
90
SoftMax Inc classifier-based implementation of existing cnn models
Performance of the developed COVID-19 detection models on the unseen dataset.
Classifier Based Implementation Of Existing Cnn Models, supplied by SoftMax 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/classifier-based implementation of existing cnn models/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
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cnn-based r-gem model  (Unicom Corporation)
90
Unicom Corporation cnn-based r-gem model
Performance of the developed COVID-19 detection models on the unseen dataset.
Cnn Based R Gem Model, supplied by Unicom Corporation, 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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xception cnn architecture-based cnn model  (Aslan Pharmaceuticals)
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Aslan Pharmaceuticals xception cnn architecture-based cnn model
Comparison of the recommended VGGCOV19-NET COVID-19 diagnosis method with other <t> CNN </t> methods developed using radiology images
Xception Cnn Architecture Based Cnn Model, supplied by Aslan 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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cnn-based models for quantification of nash histological features  (PathAI Inc)
90
PathAI Inc cnn-based models for quantification of nash histological features

Cnn Based Models For Quantification Of Nash Histological Features, supplied by PathAI 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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Average 90 stars, based on 1 article reviews
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cnn-based fpm reconstruction model  (Mesolens Inc)
90
Mesolens Inc cnn-based fpm reconstruction model

Cnn Based Fpm Reconstruction Model, supplied by Mesolens 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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Average 90 stars, based on 1 article reviews
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Image Search Results


Performance of the developed COVID-19 detection models on the unseen dataset.

Journal: Computers in Biology and Medicine

Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning

doi: 10.1016/j.compbiomed.2021.104816

Figure Lengend Snippet: Performance of the developed COVID-19 detection models on the unseen dataset.

Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a Softmax classifier-based implementation of existing CNN models as well.

Techniques:

Performance comparison of hybrid based DHL and Softmax classifier-based implementation of well-established CNN models.

Journal: Computers in Biology and Medicine

Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning

doi: 10.1016/j.compbiomed.2021.104816

Figure Lengend Snippet: Performance comparison of hybrid based DHL and Softmax classifier-based implementation of well-established CNN models.

Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a Softmax classifier-based implementation of existing CNN models as well.

Techniques: Comparison

ROC curve for the proposed frameworks (DHL, DBHL), the developed and well-established CNN Models. The square bracket values represent the tolerance or error, calculated at a 95% confidence interval .

Journal: Computers in Biology and Medicine

Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning

doi: 10.1016/j.compbiomed.2021.104816

Figure Lengend Snippet: ROC curve for the proposed frameworks (DHL, DBHL), the developed and well-established CNN Models. The square bracket values represent the tolerance or error, calculated at a 95% confidence interval .

Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a Softmax classifier-based implementation of existing CNN models as well.

Techniques:

Comparison of the recommended VGGCOV19-NET COVID-19 diagnosis method with other CNN methods developed using radiology images

Journal: Neural Computing & Applications

Article Title: VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm

doi: 10.1007/s00521-022-06918-x

Figure Lengend Snippet: Comparison of the recommended VGGCOV19-NET COVID-19 diagnosis method with other CNN methods developed using radiology images

Article Snippet: Khan et al. [ ] classified three classes with a new Xception CNN architecture-based CNN model with an accuracy ratio of 95%, Ahammed et al. [ ] classified three classes with the deep CNN model they created with accuracy of 94%, Apostolopoulos and Mpesiana [ ] classified three classes with the pre-trained VGG19 architecture with accuracy of 93.48%, Aslan et al. [ ] classified three classes with the hybrid CNN architecture with accuracy of 98.70%, Hira et al. [ ] classified three classes with the specially ResNeXt-50 with accuracy of 97.55%, and Wang et al. [ ] classified three classes with the deep CNN model they called COVID-Net with an accuracy of 93.3%.

Techniques: Comparison, Biomarker Discovery, Modification, Imaging

Journal: Cell Reports Medicine

Article Title: Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH

doi: 10.1016/j.xcrm.2023.101016

Figure Lengend Snippet:

Article Snippet: CNN-based models for quantification of NASH histological features from H&E or Trichrome stained biopsies , PathAI , N/A.

Techniques: Software, Staining