Fully Automated Segmentation Models of Supratentorial Meningiomas Assisted by Inclusion of Normal Brain Images [0.03%]
通过加入正常脑部图像来辅助完全自动化的幕上脑膜瘤分割模型
Kihwan Hwang,Juntae Park,Young-Jae Kwon et al.
Kihwan Hwang et al.
To train an automatic brain tumor segmentation model, a large amount of data is required. In this paper, we proposed a strategy to overcome the limited amount of clinically collected magnetic resonance image (MRI) data regarding meningiomas...
Jon Martin,David Cantero,Maite González et al.
Jon Martin et al.
Advances in Artificial intelligence (AI) and embedded systems have resulted on a recent increase in use of image processing applications for smart cities' safety. This enables a cost-adequate scale of automated video surveillance, increasin...
Graham Finlayson,Jake McVey
Graham Finlayson
Tone mapping functions are applied to images to compress the dynamic range of an image, to make image details more conspicuous, and most importantly, to produce a pleasing reproduction. Contrast Limited Histogram Equalization (CLHE) is one ...
Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns [0.03%]
利用决策边界模式检测自动语音识别系统中的音频对抗样本
Wei Zong,Yang-Wai Chow,Willy Susilo et al.
Wei Zong et al.
Automatic Speech Recognition (ASR) systems are ubiquitous in various commercial applications. These systems typically rely on machine learning techniques for transcribing voice commands into text for further processing. Despite their succes...
Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model [0.03%]
受医生咨询启发的模型在X光图像中的疾病识别
Kim Anh Phung,Thuan Trong Nguyen,Nileshkumar Wangad et al.
Kim Anh Phung et al.
The application of chest X-ray imaging for early disease screening is attracting interest from the computer vision and deep learning community. To date, various deep learning models have been applied in X-ray image analysis. However, models...
Toto Aminoto,Purnomo Sidi Priambodo,Harry Sudibyo
Toto Aminoto
One way to diagnose a disease is to examine pictures of tissue thought to be affected by the disease. Near-infrared properties are subdivided into nonionizing, noninvasive, and nonradiative properties. Near-infrared also has selectivity pro...
A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification [0.03%]
一种基于多模态知识的深度学习MGMT启动子甲基化识别方法
Salvatore Capuozzo,Michela Gravina,Gianluca Gatta et al.
Salvatore Capuozzo et al.
Glioblastoma Multiforme (GBM) is considered one of the most aggressive malignant tumors, characterized by a tremendously low survival rate. Despite alkylating chemotherapy being typically adopted to fight this tumor, it is known that O(6)-m...
Jonah Anton,Liam Castelli,Mun Fai Chan et al.
Jonah Anton et al.
Self-supervised learning approaches have seen success transferring between similar medical imaging datasets, however there has been no large scale attempt to compare the transferability of self-supervised models against each other on medica...
Remote Training for Medical Staff in Low-Resource Environments Using Augmented Reality [0.03%]
在资源贫乏的环境中使用增强现实对医务人员进行远程培训
Austin Hale,Marc Fischer,Laura Schütz et al.
Austin Hale et al.
This work aims to leverage medical augmented reality (AR) technology to counter the shortage of medical experts in low-resource environments. We present a complete and cross-platform proof-of-concept AR system that enables remote users to t...
Thomas Sanocki
Thomas Sanocki
In a world that is increasingly fast and complex, the human ability to rapidly perceive, comprehend, and act on visual information is extremely important [...].