AIMC Topic: Diagnostic Imaging
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Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space.
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
Deep neural networks (DNNs) are the primary driving force for the current development of medical imaging analysis tools and often provide exciting performance on various tasks. However, such results are usually reported on the overall performance of ...
Semantic ghost imaging based on recurrent-neural-network.
Optics express
Jun 20, 2022
Ghost imaging (GI) illuminates an object with a sequence of light patterns and obtains the corresponding total echo intensities with a bucket detector. The correlation between the patterns and the bucket signals results in the image. Due to such a me...
Biomedical image retrieval using adaptive neuro-fuzzy optimized classifier system.
Mathematical biosciences and engineering : MBE
Jun 6, 2022
The quantity of scientific images associated with patient care has increased markedly in recent years due to the rapid development of hospitals and research facilities. Every hospital generates more medical photographs, resulting in more than 10 GB o...
Scaling AI Projects for Radiology - Causes and Consequences.
Studies in health technology and informatics
May 25, 2022
Artificial intelligence (AI) for radiology has the potential to handle an ever-increasing volume of imaging examinations. However, the implementation of AI for clinical practice has not lived up to expectations. We suggest that a key problem with AI ...
Quantitative phase imaging based on model transfer learning.
Optics express
May 9, 2022
Convolutional neural networks have been widely used in optical information processing and the generalization ability of the network depends greatly on the scale and diversity of the datasets, however, the acquisition of mass datasets and later annota...
Commentary: Machine Learning Applications of Surgical Imaging for the Diagnosis and Treatment of Spine Disorders: Current State of the Art.
Neurosurgery
May 1, 2022
Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Apr 1, 2022
Cancer therapeutics cause various treatment-related changes that may impact patient follow-up and disease monitoring. Although atypical responses such as pseudoprogression may be misinterpreted as treatment nonresponse, other changes, such as hyperpr...
Image reconstruction with transformer for mask-based lensless imaging.
Optics letters
Apr 1, 2022
A mask-based lensless camera optically encodes the scene with a thin mask and reconstructs the image afterward. The improvement of image reconstruction is one of the most important subjects in lensless imaging. Conventional model-based reconstruction...
CRISP: a deep learning architecture for GC × GC-TOFMS contour ROI identification, simulation and analysis in imaging metabolomics.
Briefings in bioinformatics
Mar 10, 2022
Two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOFMS) provides a large amount of molecular information from biological samples. However, the lack of a comprehensive compound library or customizable bioinformatics tool is...
Learning feature fusion for target detection based on polarimetric imaging.
Applied optics
Mar 1, 2022
We propose a polarimetric imaging processing method based on feature fusion and apply it to the task of target detection. Four images with distinct polarization orientations were used as one parallel input, and they were fused into a single feature m...
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