搜索结果: 1-13 共查到“计算机科学技术 Medical”相关记录13条 . 查询时间(0.073 秒)
Why is machine learning trending in medical research but not in our doctor’s offices?（图）
Bioengineering Penn Integrates Knowledge Professors Computer Science
2023/6/27
Machine learning (ML) programs computers to learn the way we do—through the continual assessment of data and identification of patterns based on past outcomes. ML can quickly pick out trends in big da...
When looking for medical information on the internet, having the precise terminology makes the search fairly straightforward.
The miseducation of algorithms is a critical problem; when artificial intelligence mirrors unconscious thoughts, racism, and biases of the humans who generated these algorithms, it can lead to serious...
厦门大学信息科学与技术学院计算机科学系罗雄彪教授（第一作者）、厦门大学附属中山医院曾惠清教授（通讯作者）与加拿大皇家科学院院士、西安大略大学Terry M. Peters教授在国际顶级期刊IEEE Transactions on Medical Imaging 上，发表了题为 “Endoscopic Vision Augmentation Using Multiscale Bilateral-We...
Deep Learning of Feature Representation with Multiple Instance Learning for Medical Image Analysis
deep learning feature learning supervised un- supervised multiple instance learning
2016/1/22
This paper studies the effectiveness of accomplishing high-level tasks with a minimum of manual annotation and good feature rep-resentations for medical images. In medical image analysis, objects like...
3D EM/MPM MEDICAL IMAGE SEGMENTATION USING AN FPGA EMBEDDED DESIGN IMPLEMENTATION
FPGA 3D image
2015/1/20
This thesis presents a Field Programmable Gate Array (FPGA) based embedded system which is used to achieve high speed segmentation of 3D images. Segmenta- tion is performed using Expectation-Maximizat...
Natural Language Processing and Extracting Information From Medical Reports
Natural Language Processing NLP Medical Reporting Informatics
2015/1/9
The purpose of this study is to examine the current use of natural language processing for extracting meaningful data from free text in medical reports. The use of natural language processing has been...
Fast multi-scale edge-detection in medical ultrasound signals
Fast multi-scale edge-detection medical ultrasound signals
2011/8/18
Abstract: In this article we suggest a fast multi-scale edge-detection scheme for medical ultrasound signals. The edge-detector is based on well-known properties of the continuous wavelet trans- form....
Major Approaches to Medical Diagnosis and their Drawbacks
clinical decision making hybrid intelligent systems symbolic reasoning
2010/1/11
The ability to reason within a dynamical environment is of a crucial importance in
Artificial Intelligence. Medical diagnosis is a dynamic and very complex field which needs
special attention Our qu...
A Technology Acceptance Model for Inter-Organisational Electronic Medical Records Systems
Technology Acceptance Model Inter-Organisational Electronic Medical Records Systems
2009/12/9
This article reports the findings of the first stage of an ongoing, longitudinal study into the implementation of an interorganisational electronic medical records (EMR) system. The study adapted and ...
SELECTION OF THE DIAGNOSTIC HYPOTHESES THROUGH FUZZY DECISION IN A MEDICAL DIAGNOSIS SYSTEM
fuzzy decision fuzzy inference systems diagnosis discrimination index
2010/1/11
The paper presents an evaluation of the diagnostic hypotheses’ selection step
within the medical diagnosis hybrid system DiaMed. Medical diagnoses are described in
DiaMed through fuzzy decision func...
An Interactive Visual Exploration of Medical Data for Evaluating Health Centres
Medical information systems medical data user interfaces information visualisation
2014/3/12
It is well known that visualisation techniques are suitable for an effective exploration of large data sets. However, not much research has been carried out on applying visualisation techniques in the...
Ontology Based Metadata Management in Medical Domains
Ontology metadata integration medical databases UMLS XML
2014/3/12
In medical research, one of major challenges is to archive, access, and analyse various heterogeneous databases containing patient information gathered from a large volume of data over a long period o...