AIMC Topic: Convolutional Neural Networks

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Flemboda artificial intelligence: hybrid fuzzy-convolutional neural network for efficient chromosome abnormality classification.

Molecular genetics and genomics : MGG Jan 21, 2026
Chromosomal abnormality detection is a fundamental task in clinical genetics, as accurate identification of structural and numerical defects is essential for reliable diagnosis and treatment planning. However, many existing learning-based approaches ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Fuzzy Logic Chromosome Aberrations Karyotyping Artificial Intelligence Algorithms Convolutional Neural Networks
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Automated retinal disease classification using deep learning and AlexNet with statistical models analysis.

PloS one Jan 6, 2026
Diabetic Retinopathy, Cataract, and Glaucoma are major retinal diseases that require early detection to prevent irreversible vision loss. This study proposes a deep learning-based framework for the automated classification of retinal images into four...
Neural Networks, Computer Glaucoma Databases, Factual Deep Learning Humans Diabetic Retinopathy Convolutional Neural Networks Models, Statistical Cataract Retina Retinal Diseases
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Boosting living spore identification: Kolmogorov-Arnold network-guided convolutional neural network combined with laser tweezers Raman spectroscopy.

The Analyst Jan 5, 2026
As primary carriers of foodborne and zoonotic diseases, spores can pose a serious threat to food microbiology and human disease. Thus, the precise identification of spores is of great significance for ensuring food safety and human health. Herein, ...
Spectrum Analysis, Raman Spores, Bacterial Bacillus Neural Networks, Computer Convolutional Neural Networks Optical Tweezers
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Automatic classification of uveal melanoma response patterns following ruthenium-106 plaque brachytherapy using ultrasound images and deep convolutional neural network.

Scientific reports Dec 29, 2025
Following uveal melanoma (UM) affected treatment using ruthenium-106 brachytherapy, tumor thickness patterns fall into one of four categories: decrease (regression), increase (recurrence), stop (stable), or other, which are assessed in follow-up A-mo...
Uveal Melanoma Ruthenium Radioisotopes Middle Aged Deep Learning Convolutional Neural Networks Brachytherapy Melanoma Uveal Neoplasms Ultrasonography Aged Treatment Outcome Adult Humans Male Neural Networks, Computer Female
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Application of Fully Convolutional Neural Networks in the Assessment of Cerebral White Matter Involvement in Primary Sjögren's Syndrome.

Neuroinformatics Dec 29, 2025
Central nervous system (CNS) involvement in primary Sjögren's syndrome (pSS), although less frequent, can lead to serious complications. Our study aimed to assess white matter (WM) tract integrity, identify specific regions of disruption, quantify di...
Diffusion Tensor Imaging Aged Adult Male White Matter Sjogren's Syndrome Middle Aged Convolutional Neural Networks Neural Networks, Computer Brain Female Humans
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Subtype classification of gastric spindle cell tumors in whole slide images.

Computers in biology and medicine Dec 25, 2025
AIMS: Accurate cancer subtype classification is critical due to variations in tumor progression and prognosis. Traditionally, pathologists classified subtypes manually by examining pathological slides under the microscope. To address increasing workl...
Eosine Yellowish-(YS) Hematoxylin Leiomyoma Software Validation Pathology, Clinical Stomach Neoplasms Convolutional Neural Networks Humans Image Processing, Computer-Assisted Coloring Agents Gastrointestinal Stromal Tumors Datasets as Topic Neurilemmoma
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A prior knowledge-guided convolutional neural network model for predicting fetal brain age from MRI during second and third trimesters.

BMC pregnancy and childbirth Dec 12, 2025
BACKGROUND: This study aimed to evaluate the efficacy of a convolutional neural network (CNN) model in estimating fetal brain age from MRI scans during second and third trimesters.
Adult Ultrasonography, Prenatal Convolutional Neural Networks Gestational Age Pregnancy Trimester, Third Magnetic Resonance Imaging Pregnancy Trimester, Second Brain Humans Pregnancy Neural Networks, Computer Female
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Automated cementing quality detection using a domain-specific, multi-scale convolutional neural network.

PloS one Dec 9, 2025
Cementing quality is a key factor in ensuring the long-term safe production of oil and gas wells and preventing defects. Traditional cementing quality evaluation mainly relies on logging interpreters manually analyzing acoustic logging data, such as ...
Oil and Gas Fields Neural Networks, Computer Convolutional Neural Networks Construction Materials
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Mobile phone-based plasmodium parasites stage detection from Giemsa stained blood smear by convolutional neural networks.

Parasitology research Nov 25, 2025
Plasmodium vivax is a malaria parasite with a broad geographic distribution worldwide. The unique biological characteristics of P. vivax, such as early gametocytogenesis and its latent hypnozoite stage, make it more difficult to control compared to P...
Convolutional Neural Networks Malaria Humans Plasmodium vivax Microscopy Cell Phone Neural Networks, Computer Image Processing, Computer-Assisted Azure Stains Erythrocytes Malaria, Vivax Machine Learning Staining and Labeling
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Accurate prediction of protein-ATP binding sites based on a protein pretrained large language model and a fractional-order convolutional neural network.

Scientific reports Nov 25, 2025
ATP, a high-energy phosphate compound also known as adenosine triphosphate, serves as a direct energy source for living organisms. Proteins, composed of amino acids, are fundamental macromolecules and essential building blocks of life. The interactio...
Convolutional Neural Networks Protein Binding Large Language Models Neural Networks, Computer Computational Biology Algorithms Deep Learning Proteins Adenosine Triphosphate Binding Sites
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