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Abstract: According to the complexity of collaborative medical diagnosis system, a model based on C-type neural is given. Based on the relation between ...
The collaborative medical diagnosis system based on FCM and the C-type neurons can help doctors to finish the complex work of disease diagnosing. As the FCM ...
The paper highlights the medical diagnostic model using infonomics principles and granular computing. The paper proposes a framework using information valuation ...
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Apr 11, 2024 · This study sought to provide a comprehensive bibliometric overview of current research on the application of CNNs in medical imaging.
Jan 19, 2022 · In this review, we conducted a survey of the recent trends in medical diagnosis and surgical applications using XAI.
According to the complexity of collaborative medical diagnosis system, a model based on C-type neural is given. Based on the relation between C-type neural and ...
This survey makes an overview of the most recent applications on the neural networks for the computer-aided medical diagnosis (CAMD) over the past decade.
Apr 20, 2018 · We use the convolutional neural network to extract the semantic feature vectors of unstructured electronic medical records and map them to ...
Based on relevant research, this review explains how machine learning (ML) is being used to help in the early identification of numerous diseases.
Jan 3, 2024 · These algorithms excel at spotting anomalies in images, identifying trends in patient data and linking symptoms to potential conditions. By ...