A computational eye state classification model using EEG signal based on data mining techniques: comparative analysis [0.03%]
基于数据挖掘技术的眼状态分类模型及分析
Subhash Mondal,Amitava Nag
Subhash Mondal
Artificial Intelligence has shown great promise in healthcare, particularly in non-invasive diagnostics using bio signals. This study focuses on classifying eye states (open or closed) using Electroencephalogram (EEG) signals captured via a...
Enhanced detection of ovarian cancer using AI-optimized 3D CNNs for PET/CT scan analysis [0.03%]
基于PET/CT扫描分析利用AI优化的3D卷积神经网络增强卵巢癌检测
Mohammad Hossein Sadeghi,Sedigheh Sina,Reza Faghihi et al.
Mohammad Hossein Sadeghi et al.
This study investigates how deep learning (DL) can enhance ovarian cancer diagnosis and staging using large imaging datasets. Specifically, we compare six conventional convolutional neural network (CNN) architectures-ResNet, DenseNet, GoogL...
Yosita Uchuwat,Natthanan Ruengchaijatuporn,Chanan Sukprakun et al.
Yosita Uchuwat et al.
Bone scintigraphy is an important tool for detecting bone lesions. This study aimed to improve and evaluate the performance of our previously-developed deep learning-based model called MaligNet in helping nuclear medicine (NM) physicians in...
Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivatives [0.03%]
基于光电容积描记信号及其导数的非基准特征的监督机器学习模型在血压估计中的研究
Erick Javier Argüello-Prada,Carlos David Castaño Mosquera
Erick Javier Argüello-Prada
Machine learning has proven valuable in developing photoplethysmography (PPG)-based approaches for blood pressure (BP) estimation, with many holding some promise for cuff-less BP assessment. Still, their efficacy relies on accurate and robu...
Automated analysis of ECG signals using nonlinearity and nonstationarity features fed into the MobilenetV2 CNN powered by transfer learning [0.03%]
基于迁移学习的MobilenetV2 CNN的心电图信号非线性、非平稳特征分析方法研究
Richel T Nguimdo,Alain Tiedeu,Janvier Fotsing
Richel T Nguimdo
Atrial fibrillation (AFB) and atrial flutter (AFL) are cardiac arrhythmias very often associated with the aggravation of other cardiac pathologies and increase the risk of stroke and heart failure. Their detection is therefore crucial. Auto...
Modelling single cell dosimetry and DNA damage of targeted alpha therapy using Monte-Carlo techniques [0.03%]
基于蒙特卡罗方法的靶向α治疗单细胞剂量学及DNA损伤建模研究
Adam L Jolly,Andrew L Fielding
Adam L Jolly
Targeted alpha therapy (TαT) employs alpha particle-emitting radioisotopes conjugated to tumour-specific carriers to precisely irradiate tumour cells. Monte-carlo techniques have been used to accurately simulate absorbed dose and DNA damag...
Evaluating the impact of view position in X-ray imaging for the classification of lung diseases [0.03%]
评估X射线成像中视点位置在肺部疾病分类中的影响
Aya Hage Chehade,Nassib Abdallah,Jean-Marie Marion et al.
Aya Hage Chehade et al.
Clinical information associated with chest X-ray images, such as view position, patient age and gender, plays a crucial role in image interpretation, as it influences the visibility of anatomical structures and pathologies. However, most cl...
A comparison of two bolus types for radiotherapy following immediate breast reconstruction [0.03%]
两种推注类型用于即刻乳房重建术后放射治疗的比较研究
Kasia Bobrowski,Jonathon Lee
Kasia Bobrowski
Immediate breast Reconstruction is increasing in use in Australia and accounts for almost 10% of breast cancer patients (Roder in Breast 22:1220-1225, 2013). Many treatments include a bolus to increase dose to the skin surface. Air gaps und...
Dosimetric evaluation of synthetic kilo-voltage CT images generated from megavoltage CT for head and neck tomotherapy using a conditional GAN network [0.03%]
基于条件生成对抗网络的兆伏CT头颈部调强治疗合成千伏CT剂量学研究
Yazdan Choghazardi,Mohamad Bagher Tavakoli,Iraj Abedi et al.
Yazdan Choghazardi et al.
The lower image contrast of megavoltage computed tomography (MVCT), which corresponds to kilovoltage computed tomography (kVCT), can inhibit accurate dosimetric assessments. This study proposes a deep learning approach, specifically the pix...
An open-source tool for converting 3D mesh volumes into synthetic DICOM CT images for medical physics research [0.03%]
一个开源工具将三维网格体积转换为合成DICOM CT图像用于医学物理研究
Michael John James Douglass
Michael John James Douglass
Access to medical imaging data is crucial for research, training, and treatment planning in medical imaging and radiation therapy. However, ethical constraints and time-consuming approval processes often limit the availability of such data ...