AIMC Topic: Entropy

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Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets.

Scientific reports Aug 8, 2025
Accurate detection of brain tumors remains a significant challenge due to the diversity of tumor types along with human interventions during diagnostic process. This study proposes a novel ensemble deep learning system for accurate brain tumor classi...
Humans Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Entropy Artificial Intelligence Algorithms Brain Neoplasms
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Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set.

Scientific reports Aug 2, 2025
Early detection of lung cancer, which remains one of the leading causes of death worldwide, is important for improved prognosis, and CT scanning is an important diagnostic modality. Lung cancer classification according to CT scan is challenging since...
Humans Entropy Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Deep Learning
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Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches.

PloS one Jul 9, 2025
A topological index is a numerical value derived from the structure of a molecule or graph that provides useful information about the molecule's physical, chemical, or biological properties. These indices are especially important in chemo-informatics...
Entropy Machine Learning Colorectal Neoplasms Antineoplastic Agents Regression Analysis Quantitative Structure-Activity Relationship Humans
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S2LIC: Learned image compression with the SwinV2 block, Adaptive Channel-wise and Global-inter attention Context.

Neural networks : the official journal of the International Neural Network Society May 19, 2025
Recently, deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. It is crucial to design an effective and efficient entropy model to estimate the probability distribu...
Data Compression Entropy Deep Learning Image Processing, Computer-Assisted Attention Neural Networks, Computer Algorithms Humans
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Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals.

Neuroscience May 5, 2025
Epilepsy is one of the most frequently occurring neurological disorders that require early and accurate detection. This paper introduces a novel approach for the automatic identification of epilepsy in EEG signals by incorporating advanced entropy-ba...
Humans Neural Networks, Computer Deep Learning Electroencephalography Epilepsy Entropy Signal Processing, Computer-Assisted
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A spectral filtering approach to represent exemplars for visual few-shot classification.

Neural networks : the official journal of the International Neural Network Society Apr 30, 2025
Prototype is widely used to represent internal structure of category for few-shot learning, which was proposed as a simple inductive bias to address the issue of overfitting. However, for categories where prototypes do not exist or are difficult to r...
Neural Networks, Computer Algorithms Entropy Humans
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TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features.

Journal of neuroscience methods Apr 30, 2025
BACKGROUND: Taste perception is the process by which the gustatory system detects and interprets chemical stimuli from food and beverages, involving activation of taste receptors on the tongue. Analyzing taste perception is essential for understandin...
Taste Perception Entropy Brain Electroencephalography Humans Female Signal Processing, Computer-Assisted Neural Networks, Computer Young Adult Adult Male Deep Learning
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Exploring species taxonomic kingdom using information entropy and nucleotide compositional features of coding sequences based on machine learning methods.

Methods (San Diego, Calif.) Apr 23, 2025
The flow of genetic information from DNA to protein is governed by the central dogma of molecular biology. Genetic drift and mutations usually lead to changes in DNA composition, thereby affecting the coding sequences (CDS) that encode functional pro...
Nucleotides Markov Chains Archaea Machine Learning Bacteria Evolution, Molecular Entropy Base Composition Codon Eukaryota Viruses Open Reading Frames
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Leveraging vision transformers and entropy-based attention for accurate micro-expression recognition.

Scientific reports Apr 21, 2025
Micro-expressions are difficult to fake and inherently truthful, making micro-expression recognition technology widely applicable across various domains. With the development of artificial intelligence, the accuracy and efficiency of micro-expression...
Algorithms Humans Facial Expression Artificial Intelligence Entropy
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Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG.

Translational psychiatry Apr 12, 2025
Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical symptoms and genetic factors, often resulting in misdiagnosis and suboptimal treatment outcomes. This study aimed to identify EEG-based biomarkers tha...
Middle Aged Bipolar Disorder Humans Schizophrenia Support Vector Machine Machine Learning Entropy Sensitivity and Specificity Fuzzy Logic Female Male Young Adult Diagnosis, Differential Adult Electroencephalography
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