AIMC Topic: Forensic Pathology
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Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.
Forensic science, medicine, and pathology
Aug 18, 2017
Post mortem computed tomography (PMCT) can be used as a triage tool to better identify cases with a possibly non-natural cause of death, especially when high caseloads make it impossible to perform autopsies on all cases. Substantial data can be gene...
Automatic entry point planning for robotic post-mortem CT-based needle placement.
Forensic science, medicine, and pathology
Jul 15, 2016
INTRODUCTION: Post-mortem computed tomography guided placement of co-axial introducer needles allows for the extraction of tissue and liquid samples for histological and toxicological analyses. Automation of this process can increase the accuracy and...
New perspectives of forensic pathology through machine learning approach on autopsy data: a pilot study.
La Clinica terapeutica
Jan 1, 2024
BACKGROUND: The analysis, interpretation and storage of information is entrusted to the individual expert, who bases his judgments on the knowledge resulting from the experience. The aim of this experimental study is to analyse and introduce a new li...
Classifying Microscopic Acute and Old Myocardial Infarction Using Convolutional Neural Networks.
The American journal of forensic medicine and pathology
Sep 1, 2021
Convolutional neural network (CNN) has advanced in recent years and translated from research into medical practice, most notably in clinical radiology and histopathology. Research on CNNs in forensic/postmortem pathology is almost exclusive to postmo...
Big Data and Artificial Intelligence： New Insight into the Estimation of Postmortem Interval.
Fa yi xue za zhi
Feb 1, 2020
The estimation of postmortem interval （PMI） is a core issue in forensic practice. A large amount of time-dependent data can be produced in the decomposition process of a body, however, such multidimensional data cannot be comprehensively and effectiv...
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