AIMC Topic: Diagnostic Imaging
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Quantitative Imaging of Body Fat Distribution in the Era of Deep Learning.
Academic radiology
May 19, 2021
Artificial Intelligence: Evaluating All Imaging for Cardiovascular Disease.
Journal of the American Heart Association
May 17, 2021
Pebrine diagnosis using quantitative phase imaging and machine learning.
Journal of biophotonics
May 16, 2021
Pebrine is the most dreaded infectious disease of the silkworm and has devastated sericulture in Europe during the 18th century. Thereafter, if it is detected, the crop is burned to prevent further dissemination. The conventional microscopic examinat...
A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis.
Medical image analysis
May 13, 2021
Multiple Myeloma (MM) is a malignancy of plasma cells. Similar to other forms of cancer, it demands prompt diagnosis for reducing the risk of mortality. The conventional diagnostic tools are resource-intense and hence, these solutions are not easily ...
Artificial intelligence and medical imaging: applications, challenges and solutions.
The Medical journal of Australia
May 13, 2021
Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip.
International journal of computer assisted radiology and surgery
May 9, 2021
PURPOSE: Estimating uncertainty in predictions made by neural networks is critically important for increasing the trust medical experts have in automatic data analysis results. In segmentation tasks, quantifying levels of confidence can provide meani...
One-dimensional convolutional neural network-based active feature extraction for fault detection and diagnosis of industrial processes and its understanding via visualization.
ISA transactions
May 7, 2021
Feature extraction from process signals enables process monitoring models to be effective in industrial processes. Deep learning presents extensive possibilities for extracting abstract features from image and visual data. However, the main inputs of...
Recent advances in artificial intelligence for cardiac imaging.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 3, 2021
"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging.
International journal of computer assisted radiology and surgery
Apr 30, 2021
PURPOSE: With the recent development of deep learning technologies, various neural networks have been proposed for fundus retinal vessel segmentation. Among them, the U-Net is regarded as one of the most successful architectures. In this work, we sta...
Enterprise imaging and big data: A review from a medical physics perspective.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Apr 30, 2021
In recent years enterprise imaging (EI) solutions have become a core component of healthcare initiatives, while a simultaneous rise in big data has opened up a number of possibilities in how we can analyze and derive insights from large amounts of me...
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