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Found 6 papers, 0 papers with code
Speckle Noise Reduction in Ultrasound Images using Denoising Auto-encoder with Skip Connection
In an experimental study, a convolutional noise-removing auto-encoder with skip connection, a deep learning method, was used to improve ultrasound images of breast cancer.
Deep Learning based Skin-layer Segmentation for Characterizing Cutaneous Wounds from Optical Coherence Tomography Images
This work demonstrated the use of OCT as an effective imaging tool for objective and non-invasive assessments of wound severity, the potential for healing, and healing progress by measuring the optical characteristics of skin components.
Maximum entropy based non-negative optoacoustic tomographic image reconstruction
The aim of the work is to develop an inversion method which reduces the occurrence of negative values and improves the quantitative performance of optoacoustic imaging.
Grading of Mammalian Cumulus Oocyte Complexes using Machine Learning for in Vitro Embryo Culture
Visual observation of Cumulus Oocyte Complexes provides only limited information about its functional competence, whereas the molecular evaluations methods are cumbersome or costly.
BIG-bench Machine Learning
Cultural Vocal Bursts Intensity Prediction
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Visual Quality Enhancement in Optoacoustic Tomography using Active Contour Segmentation Priors
Segmentation has been further shown to enhance the reconstruction performance in many tomographic imaging modalities by accounting for heterogeneities of the excitation field and tissue properties in the imaged region.
Multiscale edge detection and parametric shape modeling for boundary delineation in optoacoustic images
In this article, we present a novel scheme for segmenting the image boundary (with the background) in optoacoustic small animal in vivo imaging systems.
