AIMC Topic: Deep Learning
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Environmental adaptations in metagenomes revealed by deep learning.
BMC biology
Aug 11, 2025
BACKGROUND: Deep learning has emerged as a powerful tool in the analysis of biological data, including the analysis of large metagenome data. However, its application remains limited due to high computational costs, model complexity, and difficulty e...
Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.
Scientific reports
Aug 11, 2025
Microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) require distinct treatment strategies and are associated with different prognoses, underscoring the importance of accurate differentiation. This study aims to develop a predictive m...
MESM: integrating multi-source data for high-accuracy protein-protein interactions prediction through multimodal language models.
BMC biology
Aug 11, 2025
BACKGROUND: Protein-protein interactions (PPIs) play a critical role in essential biological processes such as signal transduction, enzyme activity regulation, cytoskeletal structure, immune responses, and gene regulation. However, current methods ma...
Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images.
PloS one
Aug 11, 2025
BACKGROUND: Accurate classification of meningioma brain tumors is crucial for determining the appropriate treatment plan and improving patient outcomes. However, this task is challenging due to the slow-growing nature of these tumors and the potentia...
Impact of deep learning and post-processing algorithms performances on biodiversity metrics assessed on videos.
PloS one
Aug 11, 2025
Assessing the escalating biodiversity crisis, driven by climate change, habitat destruction, and exploitation, necessitates efficient monitoring strategies to assess species presence and abundance across diverse habitats. Video-based surveys using re...
Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm.
Scientific reports
Aug 10, 2025
Weeds and crops contribute to a endless resistance for similar assets, which leads to potential declines in crop production and enlarged agricultural expenses. Conventional models of weed control like extensive pesticide use, appear with the hassle o...
An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things.
Scientific reports
Aug 10, 2025
The Internet of Things (IoT) plays a significant part in the healthcare field. The growth of smart devices, smart sensors, and advanced lightweight communication protocols has created an opportunity to connect medical devices for monitoring biomedica...
Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition.
Scientific reports
Aug 10, 2025
Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance and real-world applicability. While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on fe...
Improving early detection of Alzheimer's disease through MRI slice selection and deep learning techniques.
Scientific reports
Aug 10, 2025
Alzheimer's disease is a progressive neurodegenerative disorder marked by cognitive decline, memory loss, and behavioral changes. Early diagnosis, particularly identifying Early Mild Cognitive Impairment (EMCI), is vital for managing the disease and ...
Prediction of cervical cancer lymph node metastasis based on multisequence magnetic resonance imaging radiomics and deep learning features: a dual-center study.
Scientific reports
Aug 10, 2025
Cervical cancer is a leading cause of death from malignant tumors in women, and accurate evaluation of occult lymph node metastasis (OLNM) is crucial for optimal treatment. This study aimed to develop several predictive models-including Clinical mode...
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