cnn based model Search Results


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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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
https://www.bioz.com/product/cnn+based+model/pmc10140650-20-0-15?v=PathAI+Inc
Average 90 stars, based on 1 article reviews
cnn-based models for quantification of nash histological features - by Bioz Stars, 2026-08
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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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Average 90 stars, based on 1 article reviews
panoptes-based multi-resolution cnn models - by Bioz Stars, 2026-08
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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
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Average 90 stars, based on 1 article reviews
classifier-based implementation of existing cnn models - by Bioz Stars, 2026-08
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90
Mesolens Inc cnn-based fpm reconstruction model
Performance of the developed COVID-19 detection models on the unseen dataset.
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
cnn-based fpm reconstruction model - by Bioz Stars, 2026-08
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90
XINYI BIOTECHNOLOGY CO LTD cnn-based oral mucosa risk stratification model (omrs)
Performance of the developed COVID-19 detection models on the unseen dataset.
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
cnn-based oral mucosa risk stratification model (omrs) - by Bioz Stars, 2026-08
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Mainichi Newspapers Co character based cnn-bidirectional lstm-crf model
Performance of the developed COVID-19 detection models on the unseen dataset.
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
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Average 90 stars, based on 1 article reviews
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CHOWDHURY AND CO LUTON LIMITED relu-based cnn model
Performance of the developed COVID-19 detection models on the unseen dataset.
Relu Based Cnn Model, supplied by CHOWDHURY AND CO LUTON LIMITED, 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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86
Reddit Inc cnn based multiclass reddit model
Performance of the developed COVID-19 detection models on the unseen dataset.
Cnn Based Multiclass Reddit Model, supplied by Reddit Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 86 stars, based on 1 article reviews
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Image Search Results


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

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: