AIMC Topic: Neural Networks, Computer

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Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches.

BMC medical informatics and decision making
BACKGROUND: Differentiating between ulcerative colitis (UC), Crohn's disease (CD) and intestinal tuberculosis (ITB) using endoscopy is challenging. We aimed to realize automatic differential diagnosis among these diseases through machine learning alg...

Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network.

European radiology
OBJECTIVES: The goal of the present study was to classify the most common types of plain radiographs using a neural network and to validate the network's performance on internal and external data. Such a network could help improve various radiologica...

VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Deep learning techniques are instrumental in developing network models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose the retinal fundus and coronary blood vessel disorders, the most imp...

World competitive contest-based artificial neural network: A new class-specific method for classification of clinical and biological datasets.

Genomics
Many data mining methods have been proposed to generate computer-aided diagnostic systems, which may determine diseases in their early stages by categorizing the data into some proper classes. Considering the importance of the existence of a suitable...

The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Automated semantic segmentation of multiple knee joint tissues is desirable to allow faster and more reliable analysis of large datasets and to enable further downstream processing e.g. automated diagnosis. In this work, we evaluate the use of condit...

Bone age assessment based on deep convolution neural network incorporated with segmentation.

International journal of computer assisted radiology and surgery
PURPOSE: Bone age assessment is not only an important means of assessing maturity of adolescents, but also plays an indispensable role in the fields of orthodontics, kinematics, pediatrics, forensic science, etc. Most studies, however, do not take in...

Deep convolutional neural network recovers pure absorbance spectra from highly scatter-distorted spectra of cells.

Journal of biophotonics
Infrared spectroscopy of cells and tissues is prone to Mie scattering distortions, which grossly obscure the relevant chemical signals. The state-of-the-art Mie extinction extended multiplicative signal correction (ME-EMSC) algorithm is a powerful to...

Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture.

Applied microbiology and biotechnology
Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in different fields of technology and science and have recently been applied to improve different stages of plant tissue culture. The usefulness of the applicat...

Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models.

Proceedings of the National Academy of Sciences of the United States of America
Language is crucial for human intelligence, but what exactly is its role? We take language to be a part of a system for understanding and communicating about situations. In humans, these abilities emerge gradually from experience and depend on domain...

One model to rule them all in network science?

Proceedings of the National Academy of Sciences of the United States of America