☆ 4.6 Article

ADVIAN: Alzheimer's Disease VGG-Inspired Attention Network Based on Convolutional Block Attention Module and Multiple Way Data Augmentation

FRONTIERS IN AGING NEUROSCIENCE (2021)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Medical Informatics

Dermatoscopy Using Multi-Layer Perceptron, Convolution Neural Network, and Capsule Network to Differentiate Malignant Melanoma From Benign Nevus

Shamik Tiwari

Summary: Epiluminescence microscopy, also known as dermatoscopy, is crucial in early diagnosis of melanoma and can significantly impact the survival, length, and quality of life of affected individuals. With the advancements in deep learning, image recognition has become more efficient and overcomes the complexity of traditional handcrafted feature extraction methods. The proposed Capsule network model shows promising results in melanoma classification accuracy compared to other conventional models.

INTERNATIONAL JOURNAL OF HEALTHCARE INFORMATION SYSTEMS AND INFORMATICS (2021)

添加到收藏夹

Review Pharmacology & Pharmacy

β-lactam antibiotics to tame down molecular pathways of Alzheimer's disease

Shilpa Kumari et al.

Summary: Alzheimer's disease is a multifactorial disorder with accumulation of A beta and neurofibrillary tangles. Although new drug targets are being explored, the lengthy and expensive drug development process hinders fast translation of therapeutic outcomes. Repurposing existing drugs is considered a better approach for faster therapeutic information translation.

EUROPEAN JOURNAL OF PHARMACOLOGY (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Coarse-to-fine: A dual-view attention network for click-through rate prediction

Kaitao Song et al.

Summary: This paper introduces a model called Dual-View Attention Network (DVAN) for Click-Through Rate (CTR) prediction, which boosts user-view and item-view to extract various interactive relationships. By introducing cross-domain and local homogeneous-domain attention modules in large-scale historical behavior data, the model extracts coarse-level and fine-level correlations, achieving effective CTR prediction.

KNOWLEDGE-BASED SYSTEMS (2021)

添加到收藏夹

Article Chemistry, Analytical

DeepRel: Deep learning-based gas chromatographic retention index predictor

Tomas Vrzal et al.

Summary: This paper presents a predictive model based on deep learning for accurate prediction of retention indices of compounds in gas chromatography. The model performs well in validation and testing, and can be used for non-targeted analyses.

ANALYTICA CHIMICA ACTA (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Binary biogeography-based optimization based SVM-RFE for feature selection

Dheeb Albashish et al.

Summary: The study proposed a hybrid metaheuristic model based on BBO-SVM-RFE for feature selection, which outperformed other methods in terms of accuracy and number of selected features. Results revealed the high potential of BBO-SVM-RFE in reliably searching the feature space to obtain the optimal combination of features.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Engineering, Biomedical

Automated skin lesion segmentation using attention-based deep convolutional neural network

Ridhi Arora et al.

Summary: A deep learning-based end-to-end framework with modified U-Net, incorporating Group Normalization, Attention Gates, and Tversky Loss, is proposed to improve the accuracy and efficiency of disease diagnosis through automatic dermoscopic image segmentation. Atrous convolutions are also utilized to strengthen feature propagation and feature reuse in the network. The model performs better than state-of-the-art segmentation methods on the ISIC 2018 image dataset.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

添加到收藏夹

Article Mathematical & Computational Biology

PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation

Shui-Hua Wang et al.

Summary: COVID-19 has caused significant death tolls globally, and accurate diagnosis is crucial for early treatment. The proposed PSSPNN model achieved high accuracy in classifying COVID-19 cases and outperformed current state-of-the-art approaches.

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2021)

添加到收藏夹

Article Neurosciences

Case Report: Multimodal Functional and Structural Evaluation Combining Pre-operative nTMS Mapping and Neuroimaging With Intraoperative CT-Scan and Brain Shift Correction for Brain Tumor Surgical Resection

Suhan Senova et al.

Summary: The study proposes a surgical procedure combining nTMS, MRI tractography, and rs-fMRI for preoperative evaluation, with iCT used for brain deformation correction. This approach can be utilized for patients with brain tumors in eloquent areas unsuitable for awake brain surgery.

FRONTIERS IN HUMAN NEUROSCIENCE (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Robust hybrid deep learning models for Alzheimer's progression detection

Tamer Abuhmed et al.

Summary: This study introduces two novel deep learning architectures for AD progression detection, one is an interpretable multitask regression model and the other is a hybrid model, both of which demonstrate effectiveness and practicality on ADNI data.

KNOWLEDGE-BASED SYSTEMS (2021)

添加到收藏夹

Article Mathematical & Computational Biology

Unsupervised Deep Learning Network with Self-Attention Mechanism for Non-Rigid Registration of 3D Brain MR Images

Donggeon Oh et al.

Summary: This study proposes a method to improve the performance of non-rigid registration through the use of a self-attention mechanism, addressing the limitation of alignment based solely on the entire silhouette of the brain. The experiment shows that applying the attention block can further enhance registration performance, particularly achieving high accuracy in the gray matter and cortical ventricle areas.

JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS (2021)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet

Adnan Saood et al.

Summary: This study utilizes SegNet and U-NET deep learning networks for the classification of infected tissue in CT lung images, with SegNet showing superior performance in distinguishing infected/non-infected tissues and U-NET performing better as a multi-class segmentor.

BMC MEDICAL IMAGING (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Early identification of Alzheimer's disease in mouse models: Application of deep neural network algorithm to cognitive behavioral parameters

Stephanie Sutoko et al.

Summary: Research classified mice with a high risk of AD at a preclinical stage based on their behaviors, using machine learning to identify AD risk early on, with a focus on compulsive and learning behaviors.

ISCIENCE (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

De novo design and bioactivity prediction of SARS-CoV-2 main protease inhibitors using recurrent neural network-based transfer learning

Marcos V. S. Santana et al.

Summary: This study proposes a novel approach based on artificial intelligence to develop potential SARS-CoV-2 main protease inhibitors. The generated new molecules showed good overlap with M-pro chemical space and demonstrated the potential to explore new chemical series of drugs.

BMC CHEMISTRY (2021)

添加到收藏夹

Article Automation & Control Systems

Attention Recurrent Neural Network-Based Severity Estimation Method for Interturn Short-Circuit Fault in Permanent Magnet Synchronous Machines

Hojin Lee et al.

Summary: With the development of smart factories, deep learning has become an important approach for fault diagnosis, and in this article, a novel ISCF diagnosis approach using an attention-based recurrent neural network is proposed. By utilizing an encoder-decoder architecture with an attention mechanism, the proposed method accurately diagnoses ISCF using only three-phase current and rotational speed signals as inputs.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

添加到收藏夹

Article Computer Science, Information Systems

Underwater Image Restoration and Enhancement Based on a Fusion Algorithm With Color Balance, Contrast Optimization, and Histogram Stretching

Weilin Luo et al.

Summary: A fusion algorithm for the restoration and enhancement of underwater images is proposed, which includes color balance, contrast optimization, and histogram stretching. The algorithm effectively improves the quality of underwater images through various image processing techniques.

IEEE ACCESS (2021)

添加到收藏夹

Review Cell Biology

Islet amyloid polypeptide & amyloid beta peptide roles in Alzheimer's disease: two triggers, one disease

Sofia Ferreira et al.

Summary: This study discusses the association of IAPP with diabetes, Aβ, and dementia, elucidating the pathological role of IAPP in AD. Research has shown that IAPP not only contributes to cognitive decline, but also harms the blood-brain barrier, interacts directly with Aβ, and co-deposits with it, leading to diabetes-associated dementia.

NEURAL REGENERATION RESEARCH (2021)

添加到收藏夹

Article Computer Science, Information Systems

A Convolutional Neural Network Classifier VGG-19 Architecture for Lesion Detection and Grading in Diabetic Retinopathy Based on Deep Learning

V Sudha et al.

Summary: Diabetic Retinopathy (DR) is an eye disease caused by diabetes, which can lead to blindness. Early detection and automated diagnosis using deep learning techniques can accurately classify and label the severity of DR.

CMC-COMPUTERS MATERIALS & CONTINUA (2021)

添加到收藏夹

Article Computer Science, Information Systems

Early detection of breast cancer using hybrid of series network and VGG-16

Gul Shaira Banu Jahangeer et al.

Summary: Breast cancer is a serious global issue for women and early detection through mammogram can greatly improve the chances of complete cure. This study introduces a novel image processing method for breast cancer detection, incorporating deep learning for segmentation and feature extraction, with promising results in terms of accuracy.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

添加到收藏夹

Article Mathematical & Computational Biology

Classification of Alzheimer's Disease via Eight-Layer Convolutional Neural Network with Batch Normalization and Dropout Techniques

Xianwei Jiang et al.

JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS (2020)

添加到收藏夹

Article Engineering, Biomedical

A CNN-RNN-LSTM Based Amalgamation for Alzheimer's Disease Detection

Mohit Dua et al.

JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2020)

添加到收藏夹

Review Computer Science, Information Systems

A systematic literature review of automatic Alzheimer's disease detection from speech and language

Ulla Petti et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2020)

添加到收藏夹

Article Multidisciplinary Sciences

Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system

Changsoon Choi et al.

NATURE COMMUNICATIONS (2020)

添加到收藏夹

Article Neurosciences

Public awareness, knowledge, and attitude toward Alzheimer's disease in Aseer region, Saudi Arabia

Adel Ali Alhazzani et al.

EGYPTIAN JOURNAL OF NEUROLOGY PSYCHIATRY AND NEUROSURGERY (2020)

添加到收藏夹

Article Clinical Neurology

0942 Effects of Timed Light on Mood and Cognition in Alzheimer`s Disease

Jung H Lee et al.

SLEEP (2019)

添加到收藏夹

Article Neurosciences

Classification of Alzheimer's Disease with and without Imagery Using Gradient Boosted Machines and ResNet-50

Lawrence Fulton et al.

BRAIN SCIENCES (2019)

添加到收藏夹

Article Clinical Neurology

A coordinate-based meta-analysis comparing brain activation between attention deficit hyperactivity disorder and total sleep deprivation

Jared M. Saletin et al.

SLEEP (2019)

添加到收藏夹

Article Computer Science, Information Systems

Single slice based detection for Alzheimer's disease via wavelet entropy and multilayer perceptron trained by biogeography-based optimization

Shui-Hua Wang et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2018)

添加到收藏夹

Article Health Care Sciences & Services

Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling

Shui-Hua Wang et al.

JOURNAL OF MEDICAL SYSTEMS (2018)

添加到收藏夹

Article Neurosciences

Alzheimer's Disease Detection by Pseudo Zernike Moment and Linear Regression Classification

Shui-Hua Wang et al.

CNS & NEUROLOGICAL DISORDERS-DRUG TARGETS (2017)

添加到收藏夹

Article Behavioral Sciences

Convergent and divergent intranetwork and internetwork connectivity patterns in patients with remitted late-life depression and amnestic mild cognitive impairment

Jiu Chen et al.

CORTEX (2016)

添加到收藏夹

Review Medicine, General & Internal

Alzheimer's disease

Philip Scheltens et al.

LANCET (2016)

添加到收藏夹

Article Multidisciplinary Sciences

Differential contributions of subregions of medial temporal lobe to memory system in amnestic mild cognitive impairment: insights from fMRI study

Jiu Chen et al.

SCIENTIFIC REPORTS (2016)

添加到收藏夹

Article Neurosciences

A NOVEL METHOD FOR EARLY DIAGNOSIS OF ALZHEIMER'S DISEASE BASED ON PSEUDO ZERNIKE MOMENT FROM STRUCTURAL MRI

H. T. Gorji et al.

NEUROSCIENCE (2015)

添加到收藏夹

Article Multidisciplinary Sciences

Detection of Alzheimer's disease by displacement field and machine learning

Yudong Zhang et al.

PEERJ (2015)

添加到收藏夹

Article Engineering, Biomedical

New approach for automatic classification of Alzheimer's disease, mild cognitive impairment and healthy brain magnetic resonance images

Salim Lahmiri et al.

HEALTHCARE TECHNOLOGY LETTERS (2014)

添加到收藏夹

Article Neurosciences

Sexual Dimorphism in the Human Corpus Callosum: An MRI Study Using the OASIS Brain Database

Babak A. Ardekani et al.

CEREBRAL CORTEX (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Deformation based feature selection for Computer Aided Diagnosis of Alzheimer's Disease

Alexandre Savio et al.

EXPERT SYSTEMS WITH APPLICATIONS (2013)

添加到收藏夹

Article Neurosciences

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease

Katherine R. Gray et al.

NEUROIMAGE (2013)

添加到收藏夹

Article Neurosciences

Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease

Claudia Plant et al.

NEUROIMAGE (2010)

添加到收藏夹

Article Engineering, Biomedical

A Review on MR Image Intensity Inhomogeneity Correction

Zujun Hou

INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING (2006)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.