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Linear Reconstruction Techniques Applied to Scattering Media
The goal of reconstruction or tomographic techniques is to solve for material parameters from boundary information. Linear reconstruction techniques such as ART or SIRT are desirable because of their efficient performance. The derivation of these ...
Alzheimer's disease classification using capsule networks on structural MRI
Alzheimer's disease (AD) is the most prevalent cause of dementia among elderly people. This paper presents a deep learning model based on capsule networks for the classification of AD and Normal Control (NC) using MRI images taken from the ADNI dataset. ...
Signal-to-Noise Ratio Improvement Using Multiplexed Illumination with Scattering Media
Empirical measurement of the attenuation of a light ray (i.e. a laser beam) through a scattering medium is challenging because the radiance of the exiting light is near the noise floor of the detector. The SNR can be improved with multiplexed ...
Asymmetric Encode-Decode Network with Two Decoding Paths For Skin Lesion Segmentation
Automated skin lesion segmentation is an important and challenging task. Due to the fact that the edges of melanomas are uneven and the color changes constantly, some may have image artifacts. Most of the existing segmentation methods are based on the ...
Review of Face recognition algorithms
Face detection is one of the most relevant applications of image processing and biometric systems. In this paper, we summarized the procedure of face recognition and some common methods, including the face recognition based on Hidden Markov Model, ...
A Novel Public Health Intervention Strategy for the Control of Infectious Disease Outbreaks Among Dynamic Metapopulation Networks
Abstract. With the onset of various pandemics in the past few centuries, and most recently the COVID-19 pandemic, the importance of properly allocating resources to at-risk populations is increasing. In seasonal and commonly mutating strains of ...
Index Terms
- Proceedings of the 2020 5th International Conference on Biomedical Imaging, Signal Processing