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Chapter
Leukemia Early Screening by Using NIR Spectroscopy and LAR-PLS Regression Model
In this paper, a regression analysis method based on the combination of Least Angle Regression (LAR) and Partial Least Squares (PLS) is proposed, which uses the non-invasive characteristics of near infrared sp...
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Chapter
Cost-Sensitive Collaborative Representation Based Classification via Probability Estimation Addressing the Class Imbalance Problem
Collaborative representation has been successfully used in pattern recognition and machine learning. However, most existing collaborative representation classification methods are to achieve the highest classi...
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Chapter
Near Infrared Spectroscopy Drug Discrimination Method Based on Stacked Sparse Auto-Encoders Extreme Learning Machine
This paper describes a method for drug discrimination with near infrared spectroscopy based on SSAE-ELM. ELM instead of the BP was introduced to fine-tuning SSAE, which can reduce the training time of SSAE and...
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Article
Cost-sensitive collaborative representation based classification via probability estimation with addressing the class imbalance
Collaborative representation has been successfully used in pattern recognition and machine learning. However, most existing collaborative representation classification methods are to achieve the highest classi...
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Article
T-test based Alzheimer’s disease diagnosis with multi-feature in MRIs
Diagnosing Alzheimer’s disease (AD) with magnetic resonance imaging (MRI) has attracted increasing attention. In this paper, we propose a new feature selection method for AD diagnosis by selecting interested s...
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Article
Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks
Automated nucleus/cell detection is usually considered as the basis and a critical prerequisite step of computer assisted pathology and microscopy image analysis. However, due to the enormous variability (cell...
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Chapter and Conference Paper
CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning
Pseudouridine (ψ) is a kind of RNA modification, which is formed at specific site of RNA sequence due to the catalytic action of Pseudouridine synthase in the process of gene transcription. It is the most prev...
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Article
Multi-Level Ensemble Network for Scene Recognition
Scene recognition is an important branch of computer vision and a common task for deep learning. As is known to all, different scenes are supported by different “key objects”. Therefore, the neural network use...
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Chapter
Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images
The fine-grained classification or grading of breast cancer pathological images is of great value in clinical application. However, the manual feature extraction methods not only require professional knowledge...
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Article
Nuclear Response Analysis of TFC for CFETR-I Using an Optimized GVR Approach
The nuclear analysis of the toroidal field coil (TFC) has been performed using China Fusion Engineering Test Reactor (CFETR)-I model of 33.75-degree torus sector with a pitched Neutral Beam Interface port. A n...
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Article
Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images
Fine-grained classification and grading of breast cancer (BC) histopathological images are of great value in clinical application. However, automatic classification and grading of BC histopathological images a...
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Chapter
CBCNet: A Deep Learning Approach to Urban Images Classification in Urban Computing
Urban images classification is an import part of urban computing. It is a challenging task for object detection and classification of urban images due to the high complexity of image contents. i.e., an image m...
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Article
Region- and Pixel-Level Multi-Focus Image Fusion through Convolutional Neural Networks
Capturing all-in-focus images with 3D scenes is typically a challenging task due to depth of field limitations, and various multi-focus image fusion methods have been employed to generate all-in-focus images. ...
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Chapter and Conference Paper
Combining Self-training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manually annotating organs from CT scans is time-consumin...
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Chapter and Conference Paper
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
The success of Transformer in computer vision has attracted increasing attention in the medical imaging community. Especially for medical image segmentation, many excellent hybrid architectures based on convol...
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Article
Associations of urinary polycyclic aromatic hydrocarbon metabolites and blood pressure with the mediating role of cytokines: A panel study among children
Little was known regarding the relations of polycyclic aromatic hydrocarbon (PAH) mixture with children’s blood pressure (BP) and its potential mechanism. We conducted a panel study with up to 3 visits across ...
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Article
Phthalate Mixture Exposure is Associated with Elevated Blood Pressure in Chinese Children: A Panel Study
There is unclearly epidemiological evidence regarding relations of phthalates (PAEs) with children’s blood pressure (BP) and its potential mechanism. We designed a panel study with up to 3 repeated visits over...
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Article
Open AccessA feedback loop of PPP and PI3K/AKT signal pathway drives regorafenib-resistance in HCC
Hepatocellular carcinoma (HCC) is a principal type of liver cancer with high incidence and mortality rates. Regorafenib is a novel oral multikinase inhibitor for second-line therapy for advanced HCC. However, ...
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Chapter and Conference Paper
Two-Stage Hybrid Supervision Framework for Fast, Low-Resource, and Accurate Organ and Pan-Cancer Segmentation in Abdomen CT
Abdominal organ and tumour segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manual assessment is inherently subjective wit...