AIMC Topic: Interdisciplinary Placement
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Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE journal of biomedical and health informatics
Nov 7, 2023
The Healthcare Internet-of-Things (IoT) framework aims to provide personalized medical services with edge devices. Due to the inevitable data sparsity on an individual device, cross-device collaboration is introduced to enhance the power of distribut...
Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs.
Computers in biology and medicine
Jul 16, 2022
Panoramic radiographs are an integral part of effective dental treatment planning, supporting dentists in identifying impacted teeth, infections, malignancies, and other dental issues. However, screening for anomalies solely based on a dentist's asse...
Collaborative learning with corrupted labels.
Neural networks : the official journal of the International Neural Network Society
Feb 26, 2020
Deep neural networks (DNNs) have been very successful for supervised learning. However, their high generalization performance often comes with the high cost of annotating data manually. Collecting low-quality labeled dataset is relatively cheap, e.g....
Operation of the Collaborative Composite Manufacturing (CCM) System.
Journal of visualized experiments : JoVE
Oct 1, 2019
The automated tape placement and the automated fiber placement (AFP) machines provide a safer working environment and reduce the labor intensity of workers than the traditional manual fiber placement does. Thus, the production accuracy, repeatability...
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information.
Briefings in bioinformatics
Mar 19, 2023
Emerging studies have shown that circular RNAs (circRNAs) are involved in a variety of biological processes and play a key role in disease diagnosing, treating and inferring. Although many methods, including traditional machine learning and deep lear...
Collaborative Deep Learning for Privacy Preserving Diabetic Retinopathy Detection.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Convolutional Neural Networks (CNNs) are an emerging research area for detection of Diabetic Retinopathy (DR) development in fundus images with highly reliable results. However, its accuracy depends on the availability of big datasets to train such a...
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