AIMC Topic: Postmortem Imaging

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Post-Mortem imaging biobanks: Building data for reproducibility, standardization, and AI integration.

European journal of radiology Feb 26, 2025
In recent years, post-mortem imaging has advanced with techniques such as Post-Mortem Computed Tomography (PMCT) and Post-Mortem Magnetic Resonance imaging (PMMR). PMCT is particularly useful for assessing skeletal injuries, vascular lesions, and est...
Humans Artificial Intelligence Tomography, X-Ray Computed Biological Specimen Banks Autopsy Postmortem Imaging Reproducibility of Results Magnetic Resonance Imaging
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Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans.

Journal of neuroscience methods Jan 2, 2025
BACKGROUND: The hippocampus plays a crucial role in memory and is one of the first structures affected by Alzheimer's disease. Postmortem MRI offers a way to quantify the alterations by measuring the atrophy of the inner structures of the hippocampus...
Neuroimaging Postmortem Imaging Convolutional Neural Networks Image Processing, Computer-Assisted Female Male Deep Learning Autopsy Humans Magnetic Resonance Imaging Hippocampus Neural Networks, Computer
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Sex estimation using skull silhouette images from postmortem computed tomography by deep learning.

Scientific reports Sep 30, 2024
Prompt personal identification is required during disasters that can result in many casualties. To rapidly estimate sex based on skull structure, this study applied deep learning using two-dimensional silhouette images, obtained from head postmortem ...
Middle Aged Deep Learning Image Processing, Computer-Assisted Adult Male Skull Forensic Anthropology Postmortem Imaging Autopsy Sex Determination by Skeleton Humans Tomography, X-Ray Computed Aged Young Adult Female
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Inconsistency between Human Observation and Deep Learning Models: Assessing Validity of Postmortem Computed Tomography Diagnosis of Drowning.

Journal of imaging informatics in medicine Feb 9, 2024
Drowning diagnosis is a complicated process in the autopsy, even with the assistance of autopsy imaging and the on-site information from where the body was found. Previous studies have developed well-performed deep learning (DL) models for drowning d...
ROC Curve Autopsy Postmortem Imaging Drowning Deep Learning Retrospective Studies Adolescent Tomography, X-Ray Computed Child Male Female Aged, 80 and over Middle Aged Reproducibility of Results Humans Young Adult Aged Adult
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Automated detection of fatal cerebral haemorrhage in postmortem CT data.

International journal of legal medicine Feb 8, 2024
During the last years, the detection of different causes of death based on postmortem imaging findings became more and more relevant. Especially postmortem computed tomography (PMCT) as a non-invasive, relatively cheap, and fast technique is progress...
Humans Cerebral Hemorrhage Autopsy Female Postmortem Imaging Imaging, Three-Dimensional Aged Algorithms Support Vector Machine Male Retrospective Studies Neural Networks, Computer Middle Aged Adult Tomography, X-Ray Computed Machine Learning
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Classification of rib fracture types from postmortem computed tomography images using deep learning.

Forensic science, medicine, and pathology Nov 16, 2023
Human or time resources can sometimes fall short in medical image diagnostics, and analyzing images in full detail can be a challenging task. With recent advances in artificial intelligence, an increasing number of systems have been developed to assi...
Postmortem Imaging Male Tomography, X-Ray Computed Deep Learning Humans Female Radiographic Image Interpretation, Computer-Assisted Autopsy Rib Fractures Cone-Beam Computed Tomography
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