AIMC Topic: Attention

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Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Accurate placenta super micro-vessels segmentation is the key to diagnose placental diseases. However, the current automatic segmentation algorithm has issues of information redundancy and low information utilization, which reduces the segmentation a...
Image Processing, Computer-Assisted Placenta Female Attention Neural Networks, Computer Pregnancy Algorithms Humans
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Weakly Supervised Attention Map Training for Histological Localization of Colonoscopy Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
We consider the problem of training a convolutional neural network for histological localization of colorectal lesions from imperfectly annotated datasets. Given that we have a colonoscopic image dataset for 4-class histology classification and anoth...
Colonoscopy Image Processing, Computer-Assisted Neural Networks, Computer Attention
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Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Magnetic Resonance Imaging (MRI) technology has been widely applied to generate high-resolution images for brain tumor diagnosis. However, manual image reading is very time and labor consuming. Instead, automatic tumor detection based on deep learnin...
Attention Deep Learning Magnetic Resonance Imaging Image Processing, Computer-Assisted Brain Humans Brain Neoplasms
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EMS-Net: Enhanced Multi-Scale Network for Polyp Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
In recent years, polyp segmentation plays an important role in the diagnosis and treatment of colorectal cancer. Accurate segmentation of polyps is very challenging due to different sizes, shapes, and unclear boundaries. Making full use of multi-scal...
Humans Attention Image Processing, Computer-Assisted Polyps Neural Networks, Computer Colonoscopy
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[A novel attention fusion network-based multiple instance learning framework to automate diagnosis of chronic gastritis with multiple indicators].

Zhonghua bing li xue za zhi = Chinese journal of pathology Oct 8, 2021
To explore the performance of the attention-multiple instance learning (MIL) framework, an attention fusion network-based MIL, in the automated diagnosis of chronic gastritis with multiple indicators. A total of 1 015 biopsy cases of gastritis diag...
Metaplasia Attention Artificial Intelligence Humans Gastritis China
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Evaluating the progress of deep learning for visual relational concepts.

Journal of vision Oct 5, 2021
Convolutional neural networks have become the state-of-the-art method for image classification in the last 10 years. Despite the fact that they achieve superhuman classification accuracy on many popular datasets, they often perform much worse on more...
Humans Deep Learning Neural Networks, Computer Attention
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Introduction to the special issue on machine learning in acoustics.

The Journal of the Acoustical Society of America Oct 1, 2021
The use of machine learning (ML) in acoustics has received much attention in the last decade. ML is unique in that it can be applied to all areas of acoustics. ML has transformative potentials as it can extract statistically based new information abo...
Attention Acoustics Engineering Machine Learning
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Interpretable disease prediction using heterogeneous patient records with self-attentive fusion encoder.

Journal of the American Medical Informatics Association : JAMIA Sep 18, 2021
OBJECTIVE: We propose an interpretable disease prediction model that efficiently fuses multiple types of patient records using a self-attentive fusion encoder. We assessed the model performance in predicting cardiovascular disease events, given the r...
Attention Machine Learning Electronic Health Records Delivery of Health Care Neural Networks, Computer Humans
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A 3D multiscale view convolutional neural network with attention for mental disease diagnosis on MRI images.

Mathematical biosciences and engineering : MBE Aug 23, 2021
Computer Assisted Diagnosis (CAD) based on brain Magnetic Resonance Imaging (MRI) is a popular research field for the computer science and medical engineering. Traditional machine learning and deep learning methods were employed in the classification...
Magnetic Resonance Imaging Brain Neural Networks, Computer Attention Reproducibility of Results
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The attention schema theory in a neural network agent: Controlling visuospatial attention using a descriptive model of attention.

Proceedings of the National Academy of Sciences of the United States of America Aug 17, 2021
In the attention schema theory (AST), the brain constructs a model of attention, the attention schema, to aid in the endogenous control of attention. Growing behavioral evidence appears to support the presence of a model of attention. However, a cent...
Attention Spatial Processing Deep Learning Neural Networks, Computer
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