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
https://www.bioz.com/result/cnn based model/product/IEEE Access
Average 90 stars, based on 1 article reviews
cnn based model - by Bioz Stars, 2026-05
90/100 stars
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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
https://www.bioz.com/result/deep convolutional neural network (cnn)-based encoding model/product/Murty Pharmaceuticals
Average 90 stars, based on 1 article reviews
deep convolutional neural network (cnn)-based encoding model - by Bioz Stars, 2026-05
90/100 stars
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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
https://www.bioz.com/result/panoptes-based multi-resolution cnn models/product/Panoptes Pharma GmbH
Average 90 stars, based on 1 article reviews
panoptes-based multi-resolution cnn models - by Bioz Stars, 2026-05
90/100 stars
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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
character based cnn-bidirectional lstm-crf model - by Bioz Stars, 2026-05
90/100 stars
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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
https://www.bioz.com/result/cnn-based oral mucosa risk stratification model (omrs)/product/XINYI BIOTECHNOLOGY CO LTD
Average 90 stars, based on 1 article reviews
cnn-based oral mucosa risk stratification model (omrs) - by Bioz Stars, 2026-05
90/100 stars
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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
classifier-based implementation of existing cnn models - by Bioz Stars, 2026-05
90/100 stars
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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
https://www.bioz.com/result/cnn-based r-gem model/product/Unicom Corporation
Average 90 stars, based on 1 article reviews
cnn-based r-gem model - by Bioz Stars, 2026-05
90/100 stars
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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
https://www.bioz.com/result/cnn-based models for quantification of nash histological features/product/PathAI Inc
Average 90 stars, based on 1 article reviews
cnn-based models for quantification of nash histological features - by Bioz Stars, 2026-05
90/100 stars
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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
https://www.bioz.com/result/cnn-based fpm reconstruction model/product/Mesolens Inc
Average 90 stars, based on 1 article reviews
cnn-based fpm reconstruction model - by Bioz Stars, 2026-05
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self-attention-based cnn model  (Theragnostic Technologies)
90
Theragnostic Technologies self-attention-based cnn model
Diagnostic performance of the self-attention-based <t> CNN </t> for prediction of microsatellite instability in colorectal adenocarcinoma with 10-fold cross-validation with the TSMCC cohort
Self Attention Based Cnn Model, supplied by Theragnostic Technologies, 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/self-attention-based cnn model/product/Theragnostic Technologies
Average 90 stars, based on 1 article reviews
self-attention-based cnn model - by Bioz Stars, 2026-05
90/100 stars
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cnn-based model  (Hirasawa Works)
90
Hirasawa Works cnn-based model
Diagnostic performance of the self-attention-based <t> CNN </t> for prediction of microsatellite instability in colorectal adenocarcinoma with 10-fold cross-validation with the TSMCC cohort
Cnn Based Model, 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/cnn-based model/product/Hirasawa Works
Average 90 stars, based on 1 article reviews
cnn-based model - by Bioz Stars, 2026-05
90/100 stars
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hybrid models based on cnn and gru  (Multimed Inc)
90
Multimed Inc hybrid models based on cnn and gru
Diagnostic performance of the self-attention-based <t> CNN </t> for prediction of microsatellite instability in colorectal adenocarcinoma with 10-fold cross-validation with the TSMCC cohort
Hybrid Models Based On Cnn And Gru, 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/hybrid models based on cnn and gru/product/Multimed Inc
Average 90 stars, based on 1 article reviews
hybrid models based on cnn and gru - by Bioz Stars, 2026-05
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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:

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

Diagnostic performance of the self-attention-based CNN for prediction of microsatellite instability in colorectal adenocarcinoma with 10-fold cross-validation with the TSMCC cohort

Journal: Cell Reports Medicine

Article Title: Predicting colorectal cancer microsatellite instability with a self-attention-enabled convolutional neural network

doi: 10.1016/j.xcrm.2022.100914

Figure Lengend Snippet: Diagnostic performance of the self-attention-based CNN for prediction of microsatellite instability in colorectal adenocarcinoma with 10-fold cross-validation with the TSMCC cohort

Article Snippet: Our study further showed that MSI predicted by the self-attention-based CNN model could stratify the DFS of CRC patients, suggesting that predicted MSI could be potentially useful as a theragnostic marker to guide CRC management.

Techniques: Diagnostic Assay

Diagnostic performance of the self-attention-based CNN for prediction of microsatellite instability in colorectal adenocarcinoma with 10-fold cross-validation with the TCGA-COAD and TCGA-READ cohort

Journal: Cell Reports Medicine

Article Title: Predicting colorectal cancer microsatellite instability with a self-attention-enabled convolutional neural network

doi: 10.1016/j.xcrm.2022.100914

Figure Lengend Snippet: Diagnostic performance of the self-attention-based CNN for prediction of microsatellite instability in colorectal adenocarcinoma with 10-fold cross-validation with the TCGA-COAD and TCGA-READ cohort

Article Snippet: Our study further showed that MSI predicted by the self-attention-based CNN model could stratify the DFS of CRC patients, suggesting that predicted MSI could be potentially useful as a theragnostic marker to guide CRC management.

Techniques: Diagnostic Assay