AIMC Topic: Rats

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Artificial Evolution Network: A Computational Perspective on the Expansibility of the Nervous System.

IEEE transactions on neural networks and learning systems May 3, 2021
Neurobiologists recently found the brain can use sudden emerged channels to process information. Based on this finding, we put forward a question whether we can build a computation model that is able to integrate a sudden emerged new type of perceptu...
Algorithms Computer Simulation Animals Humans Neural Networks, Computer Artificial Intelligence Online Systems Nervous System Physiological Phenomena Mental Processes Rats Models, Neurological Unsupervised Machine Learning
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Automated biomarker candidate discovery in imaging mass spectrometry data through spatially localized Shapley additive explanations.

Analytica chimica acta Apr 26, 2021
The search for molecular species that are differentially expressed between biological states is an important step towards discovering promising biomarker candidates. In imaging mass spectrometry (IMS), performing this search manually is often impract...
Machine Learning Rats Mass Spectrometry Diagnostic Tests, Routine Biomedical Research Animals Mice
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Democratising deep learning for microscopy with ZeroCostDL4Mic.

Nature communications Apr 15, 2021
Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by DL technology, the need to access powerful and compatible resources ...
Image Processing, Computer-Assisted Datasets as Topic Rats Animals Deep Learning Humans Microscopy Cloud Computing Cell Line, Tumor Software Primary Cell Culture
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Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks.

Scientific reports Mar 31, 2021
The study of cellular complexity in the nervous system based on anatomy has shown more practical and objective advantages in morphology than other perspectives on molecular, physiological, and evolutionary aspects. However, morphology-based neuron ty...
Neural Networks, Computer Machine Learning Brain Animals Rats Models, Neurological Neurons
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Implementing Multilabeling, ADASYN, and ReliefF Techniques for Classification of Breast Cancer Diagnostic through Machine Learning: Efficient Computer-Aided Diagnostic System.

Journal of healthcare engineering Mar 22, 2021
Multilabel recognition of morphological images and detection of cancerous areas are difficult to locate in the scenario of the image redundancy and less resolution. Cancerous tissues are incredibly tiny in various scenarios. Therefore, for automatic ...
Female Machine Learning Computer Systems Breast Neoplasms Humans Algorithms Rats Animals Neural Networks, Computer Computers
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Detection of prenatal alcohol exposure using machine learning classification of resting-state functional network connectivity data.

Alcohol (Fayetteville, N.Y.) Mar 11, 2021
Fetal Alcohol Spectrum Disorder (FASD), a wide range of physical and neurobehavioral abnormalities associated with prenatal alcohol exposure (PAE), is recognized as a significant public health concern. Advancements in the diagnosis of FASD have been ...
Male Rats Pregnancy Machine Learning Magnetic Resonance Imaging Female Ethanol Animals Prenatal Exposure Delayed Effects Fetal Alcohol Spectrum Disorders
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HistoNet: A Deep Learning-Based Model of Normal Histology.

Toxicologic pathology Mar 3, 2021
We introduce HistoNet, a deep neural network trained on normal tissue. On 1690 slides with rat tissue samples from 6 preclinical toxicology studies, tissue regions were outlined and annotated by pathologists into 46 different tissue classes. From the...
Deep Learning Rats Histological Techniques Swine, Miniature Machine Learning Animals Swine Humans Neural Networks, Computer
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Using deep neural networks to evaluate object vision tasks in rats.

PLoS computational biology Mar 2, 2021
In the last two decades rodents have been on the rise as a dominant model for visual neuroscience. This is particularly true for earlier levels of information processing, but a number of studies have suggested that also higher levels of processing su...
Photic Stimulation Visual Perception Computational Biology Rats Models, Neurological Animals Deep Learning
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Androgen Receptor Binding Category Prediction with Deep Neural Networks and Structure-, Ligand-, and Statistically Based Features.

Molecules (Basel, Switzerland) Feb 26, 2021
Substances that can modify the androgen receptor pathway in humans and animals are entering the environment and food chain with the proven ability to disrupt hormonal systems and leading to toxicity and adverse effects on reproduction, brain developm...
Animals Deep Learning Protein Binding Humans Neural Networks, Computer Ligands Software Receptors, Androgen Algorithms Logistic Models Rats Proteins
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Biomarker-Based Classification and Localization of Renal Lesions Using Learned Representations of Histology-A Machine Learning Approach to Histopathology.

Toxicologic pathology Feb 24, 2021
Several deep learning approaches have been proposed to address the challenges in computational pathology by learning structural details in an unbiased way. Transfer learning allows starting from a learned representation of a pretrained model to be di...
Histological Techniques Animals Rats Pathologists Machine Learning Biomarkers Humans
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