AIMC Topic: Deep Learning

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Creating interpretable deep learning models to identify species using environmental DNA sequences.

Scientific reports Jul 28, 2025
Monitoring species' presence in an ecosystem is crucial for conservation and understanding habitat diversity, but can be expensive and time consuming. As a result, ecologists have begun using the DNA that animals naturally leave behind in water or so...
Neural Networks, Computer Animals Sequence Analysis, DNA DNA, Environmental Ecosystem Deep Learning
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A new low-rank adaptation method for brain structure and metastasis segmentation via decoupled principal weight direction and magnitude.

Scientific reports Jul 28, 2025
Deep learning techniques have become pivotal in medical image segmentation, but their success often relies on large, manually annotated datasets, which are expensive and labor-intensive to obtain. Additionally, different segmentation tasks frequently...
Magnetic Resonance Imaging Humans Brain Neoplasms Algorithms Deep Learning Brain Image Processing, Computer-Assisted
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Identifying Cocoa Flower Visitors: A Deep Learning Dataset.

Scientific data Jul 28, 2025
Cocoa is a multi-billion-dollar industry but research on improving yields through pollination remains limited. New embedded hardware and AI-based data analysis is advancing information on cocoa flower visitors, their identity and implications for yie...
Animals China Insecta Deep Learning Cacao Flowers Pollination
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Sequence-based virtual screening using transformers.

Nature communications Jul 28, 2025
Protein-ligand interactions play central roles in myriad biological processes and are of key importance in drug design. Deep learning approaches are becoming cost-effective alternatives to high-throughput experimental methods for ligand identificatio...
Protein Kinase Inhibitors Proto-Oncogene Proteins c-abl Protein Conformation ErbB Receptors Deep Learning Protein Binding Amino Acid Sequence Ligands Drug Evaluation, Preclinical Humans Drug Design
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Multi-modal classification of retinal disease based on convolutional neural network.

Biomedical physics & engineering express Jul 28, 2025
Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irreversible blindness without timely diagnosis and treatment. Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) imag...
Retinal Diseases Retina Macular Degeneration Deep Learning Neural Networks, Computer Convolutional Neural Networks Multimodal Imaging Tomography, Optical Coherence Humans Algorithms Diabetic Retinopathy Image Processing, Computer-Assisted
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AMFormer-based framework for accident responsibility attribution: Interpretable analysis with traffic accident features.

PloS one Jul 28, 2025
Accurately determining responsibility in traffic accidents is crucial for ensuring fairness in law enforcement and optimizing responsibility standards. Traditional methods predominantly rely on subjective judgments, such as eyewitness testimonies and...
Humans Deep Learning Law Enforcement Accidents, Traffic
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Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection.

PloS one Jul 28, 2025
Intracranial haemorrhage (ICH) is a crucial medical emergency that entails prompt assessment and management. Compared to conventional clinical tests, the need for computerized medical assistance for properly recognizing brain haemorrhage from compute...
Deep Learning Image Processing, Computer-Assisted Intracranial Hemorrhages Algorithms Tomography, X-Ray Computed Humans
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AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost.

PloS one Jul 28, 2025
Skin cancer is a significant global public health issue, with millions of new cases identified each year. Recent breakthroughs in artificial intelligence, especially deep learning, possess considerable potential to enhance the accuracy and efficiency...
Image Processing, Computer-Assisted Smartphone Male Keratosis, Seborrheic Middle Aged Boosting Machine Learning Algorithms Skin Neoplasms Deep Learning Carcinoma, Basal Cell Algorithms Female Melanoma Humans Artificial Intelligence
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Optimization of deep learning models for inference in low resource environments.

Computers in biology and medicine Jul 26, 2025
Artificial Intelligence (AI), and particularly deep learning (DL), has shown great promise to revolutionize healthcare. However, clinical translation is often hindered by demanding hardware requirements. In this study, we assess the effectiveness of ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Colorectal Neoplasms Deep Learning Humans
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CLT-MambaSeg: An integrated model of Convolution, Linear Transformer and Multiscale Mamba for medical image segmentation.

Computers in biology and medicine Jul 26, 2025
Recent advances in deep learning have significantly enhanced the performance of medical image segmentation. However, maintaining a balanced integration of feature localization, global context modeling, and computational efficiency remains a critical ...
Humans Female Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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