AIMC Topic: Neural Networks, Computer

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Food safety in health: a model of extraction for food contaminants.

Mathematical biosciences and engineering : MBE
Contaminants are the critical targets of food safety supervision and risk assessment. In existing research, food safety knowledge graphs are used to improve the efficiency of supervision since they supply the relationship between contaminants and foo...

Application of artificial neural network algorithm in pathological diagnosis and prognosis prediction of digestive tract malignant tumors.

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences
The application of artificial neural network algorithm in pathological diagnosis of gastrointestinal malignant tumors has become a research hotspot. In the previous studies, the algorithm research mainly focused on the model development based on conv...

[CT and MRI fusion based on generative adversarial network and convolutional neural networks under image enhancement].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Aiming at the problems of missing important features, inconspicuous details and unclear textures in the fusion of multimodal medical images, this paper proposes a method of computed tomography (CT) image and magnetic resonance imaging (MRI) image fus...

Application of modern computer technology in classical genetics lab course--Development of a mobile, lightweight and high-precision batch identification system for genetic traits of .

Yi chuan = Hereditas
is a crucial biological experimental teaching material extensively utilized in experimental teaching. In this experimental teaching, each student typically needs to manually identify hundreds of fruit flies and record multiple of each fly. This task...

Modern Artificial Neural Networks: Is Evolution Cleverer?

Neural computation
Machine learning tools, particularly artificial neural networks (ANN), have become ubiquitous in many scientific disciplines, and machine learning-based techniques flourish not only because of the expanding computational power and the increasing avai...

Yield prediction through integration of genetic, environment, and management data through deep learning.

G3 (Bethesda, Md.)
Accurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a key goal in biology with direct applications to agriculture, research, and conservation. The past dec...

Deep transfer learning for IDC breast cancer detection using fast AI technique and Sqeezenet architecture.

Mathematical biosciences and engineering : MBE
One of the most effective approaches for identifying breast cancer is histology, which is the meticulous inspection of tissues under a microscope. The kind of cancer cells, or whether they are cancerous (malignant) or non-cancerous, is typically dete...

Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model.

Bioinformatics (Oxford, England)
MOTIVATION: Identifying the B-cell epitopes is an essential step for guiding rational vaccine development and immunotherapies. Since experimental approaches are expensive and time-consuming, many computational methods have been designed to assist B-c...

De novo drug design by iterative multiobjective deep reinforcement learning with graph-based molecular quality assessment.

Bioinformatics (Oxford, England)
MOTIVATION: Generating molecules of high quality and drug-likeness in the vast chemical space is a big challenge in the drug discovery. Most existing molecule generative methods focus on diversity and novelty of molecules, but ignoring drug potential...

A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution.

Bioinformatics (Oxford, England)
MOTIVATION: Reconstructing and analyzing all blood vessels throughout the brain is significant for understanding brain function, revealing the mechanisms of brain disease, and mapping the whole-brain vascular atlas. Vessel segmentation is a fundament...