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CoMed GmbH resnet18
Resnet18, supplied by CoMed 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/product/resnet18/resnet18/pm39757652-126-25-13
Average 90 stars, based on 1 article reviews
resnet18 - by Bioz Stars, 2026-10
90/100 stars

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Article Title: A comprehensive review on federated learning based models for healthcare applications.
Article Snippet: A disease is an abnormal condition that negatively impacts the functioning of the human body.. Pathology determines the causes behind the disease and identifies its development mechanism and functional consequences.. Each disease has different identification methods, including X-ray scans for pneumonia, covid-19, and lung cancer, whereas biopsy and CT-scan can identify the presence of skin cancer and Alzheimer’s disease, respectively.

Article Title: FedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets.
Article Snippet: [36] ResNext50, convNet,AlexNet, ResNet18 Learning rate: 0.0001 Optimizer: Adam and SGD, Aggregation: FedAVG, COMED, and GEOMED Accuracy with GEOMED: ResNext50: 77% convNet: 81%, AlexNet: 86%, ResNet18: 82% Pneumonia The value of the learning rate has been taken very small, which may result in increasing resource utilization.



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Summary of related works and identified challenges.

Journal: Scientific Reports

Article Title: Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets

doi: 10.1038/s41598-025-87471-0

Figure Lengend Snippet: Summary of related works and identified challenges.

Article Snippet: Aslan and Sabanci, 2023 , Transformed numerical data into images and utilized ResNet18, ResNet50, and SVM for classification , PIDD , 92.19 , The transformation of numerical data to images may introduce biases and loss of information, potentially affecting model performance and generalizability.

Techniques: Plasmid Preparation, Activation Assay, Transformation Assay, Introduce, Biomarker Discovery