AIMC Topic: Neural Networks, Computer

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Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder.

International journal of environmental research and public health
A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either cancerous or benign. The first implementations involved the use of machine learning algorithms. Random Forest and Support Vector Machine (SVM) were used to cl...

ProteInfer, deep neural networks for protein functional inference.

eLife
Predicting the function of a protein from its amino acid sequence is a long-standing challenge in bioinformatics. Traditional approaches use sequence alignment to compare a query sequence either to thousands of models of protein families or to large ...

Artificial neural network modelling of the neural population code underlying mathematical operations.

NeuroImage
Mathematical operations have long been regarded as a sparse, symbolic process in neuroimaging studies. In contrast, advances in artificial neural networks (ANN) have enabled extracting distributed representations of mathematical operations. Recent ne...

A novel deep learning ensemble model based on two-stage feature selection and intelligent optimization for water quality prediction.

Environmental research
Accurate prediction of effluent total nitrogen (E-TN) can assist in feed-forward control of wastewater treatment plants (WWTPs) to ensure effluent compliance with standards while reducing energy consumption. However, multivariate time series predicti...

Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks.

Computer methods and programs in biomedicine
BACKGROUND: A reliable anticipation of a difficult airway may notably enhance safety during anaesthesia. In current practice, clinicians use bedside screenings by manual measurements of patients' morphology.

Large-Scale Image Retrieval with Deep Attentive Global Features.

International journal of neural systems
How to obtain discriminative features has proved to be a core problem for image retrieval. Many recent works use convolutional neural networks to extract features. However, clutter and occlusion will interfere with the distinguishability of features ...

Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data.

Big data
Big data is a combination of large structured, semistructured, and unstructured data collected from various sources that must be processed before using them in many analytical applications. Anomalies or inconsistencies in big data refer to the occurr...

Multi-path decoder U-Net: A weakly trained real-time segmentation network for object detection and localization in ultrasound scans.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Detecting and localizing an anatomical structure of interest within the field of view of an ultrasound scan is an essential step in many diagnostic and therapeutic procedures. However, ultrasound scans suffer from high levels of variabilities across ...

Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication.

Neural networks : the official journal of the International Neural Network Society
BACKGROUND AND OBJECTIVE: Deep learning is applied in medicine mostly due to its state-of-the-art performance for diagnostic imaging. Supervisory authorities also require the model to be explainable, but most explain the model after development (post...

Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm.

Bioresource technology
The main aim of the present study was to establish a relationship model between bio-hydrogen yield and the key operating parameters affecting photo-fermentation hydrogen production (PFHP) from co-substrates. Central composite design-response surface ...