AlzhiNet: Traversing from 2D-CNN to 3D-CNN, Towards Early Detection and Diagnosis of Alzheimer's Disease [0.03%]
阿尔茨海默病的早期检测与诊断：从2D-CNN到3D-CNN
Romoke Grace Akindele,Samuel Adebayo,Ming Yu et al.
Romoke Grace Akindele et al.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder with increasing prevalence among the ageing population, necessitating early and accurate diagnosis for effective disease management. In this study, we present a novel hybr...
Highly Accurate and Robust Early Stage Detection of Cholangiocarcinoma Using Near-Lossless SERS Signal Processing with Machine Learning and 2D CNN for Point-of-care Mobile Application [0.03%]
使用近无损SERS信号处理与机器学习和2D卷积神经网络进行移动医疗应用的早期胆管癌精确稳健检测
Pobporn Danvirutai,Thatsanapong Pongking,Suppakrit Kongsintaweesuk et al.
Pobporn Danvirutai et al.
Introduction: Cholangiocarcinoma (CCA), a malignancy of the bile ducts, presents a significant health burden with a notably high prevalence in Northeast Thailand, where its incidence ratio is 85 per 100,000 population per...
Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM [0.03%]
基于二维卷积神经网络与长短时记忆网络的针灸恐惧症预测模型研究
Judita Rudokaite,Sharon Ong,Itir Onal Ertugrul et al.
Judita Rudokaite et al.
When undergoing or about to undergo a needle-related procedure, most people are not aware of the adverse emotional and physical reactions (so-called vasovagal reactions; VVR), that might occur. Thus, rather than relying on self-report measu...
Neutron-gamma pulse shape discrimination for organic scintillation detector using 2D CNN based image classification [0.03%]
基于二维CNN的图像分类有机闪烁探测器中的中子-γ脉冲形状甄别方法研究
Annesha Karmakar,Anikesh Pal,G Anil Kumar et al.
Annesha Karmakar et al.
This study shows an implementation of neutron-gamma pulse shape discrimination (PSD) using a two-dimensional convolutional neural network. The inputs to the network are snapshots of the unprocessed, digitized signals from a BC501A detector....
Accurate and visualiable discrimination of Chenpi age using 2D-CNN and Grad-CAM++ based on infrared spectral images [0.03%]
基于红外光谱图像的2D-CNN和Grad-CAM++的陈皮年龄精准可视化鉴别方法
Li Jun Tang,Xin Kang Li,Yue Huang et al.
Li Jun Tang et al.
Dried tangerine peel ("Chenpi"), has numerous clinical and nutritional benefits, with its quality being significantly influenced by its storage age, referred to as "Chen Jiu Zhe Liang" in Chinese. Concequently, the rapid and accurate identi...
CSXAI: a lightweight 2D CNN-SVM model for detection and classification of various crop diseases with explainable AI visualization [0.03%]
基于可解释人工智能可视化的农作物病害检测与分类的轻量级2DCNN-SVM模型（CSXAI）
Reazul Hasan Prince,Abdul Al Mamun,Hasibul Islam Peyal et al.
Reazul Hasan Prince et al.
Plant diseases significantly impact crop productivity and quality, posing a serious threat to global agriculture. The process of identifying and categorizing these diseases is often time-consuming and prone to errors. This research addresse...
Discriminative analysis of schizophrenia patients using an integrated model combining 3D CNN with 2D CNN: A multimodal MR image and connectomics analysis [0.03%]
基于三维卷积神经网络与二维卷积神经网络集成模型的精神分裂症患者的判别分析：多模态磁共振图像和连接组学研究
Haiman Guo,Shuyi Jian,Yubin Zhou et al.
Haiman Guo et al.
Objective: Few studies have applied deep learning to the discriminative analysis of schizophrenia (SZ) patients using the fusional features of multimodal MRI data. Here, we proposed an integrated model combining a 3D conv...
Deep learning ensemble 2D CNN approach towards the detection of lung cancer [0.03%]
基于深度学习的集成二维CNN肺癌检测方法
Asghar Ali Shah,Hafiz Abid Mahmood Malik,AbdulHafeez Muhammad et al.
Asghar Ali Shah et al.
In recent times, deep learning has emerged as a great resource to help research in medical sciences. A lot of work has been done with the help of computer science to expose and predict different diseases in human beings. This research uses ...
A novel multi-scale 2D CNN with weighted focal loss for arrhythmias detection on varying-dimensional ECGs [0.03%]
一种新的多尺度二维卷积神经网络通过带权焦散损失函数在不同维度心电图中检测心律失常
Pan Xia,Zhengling He,Zhongrui Bai et al.
Pan Xia et al.
Objective. The ECG is a standard diagnostic tool for identifying many arrhythmias. Accurate diagnosis and early intervention for arrhythmias are of great significance to the prevention and treatment of cardiovascular disease. Our objective ...
Two-stream fusion model using 3D-CNN and 2D-CNN via video-frames and optical flow motion templates for hand gesture recognition [0.03%]
基于视频帧和光流运动模板的两路融合的手势识别模型
Debajit Sarma,V Kavyasree,M K Bhuyan
Debajit Sarma
Hand gestures are useful tools for many applications in the human-computer interaction community. Here, the objective is to track the movement of the hand irrespective of the shape, size and color of the hand. And, for this, a motion templa...
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