AIMC Topic: Deep Learning
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Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China.
Scientific reports
Aug 20, 2025
As a key ecological parameter, NPP measures the photosynthetic efficiency of plants in capturing atmospheric carbon. With the warming of the climate, extreme temperature events are frequent, which has exerted a profound influence on NPP. Previous stu...
A comprehensive deep learning approach to improve enchondroma detection on X-ray images.
Scientific reports
Aug 20, 2025
An enchondroma is a benign neoplasm of mature hyaline cartilage that proliferates from the medullary cavity toward the cortical bone. This results in the formation of a significant endogenous mass within the medullary cavity. Although enchondromas ar...
Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients.
Scientific data
Aug 20, 2025
Chronic knee osteoarthritis pain significantly impacts patients' quality of life and motor function. While motor imagery (MI)-based brain-computer interface (BCI) systems have shown promise in rehabilitation, their application to lower-limb condition...
Deep learning approach for screening neonatal cerebral lesions on ultrasound in China.
Nature communications
Aug 20, 2025
Timely and accurate diagnosis of severe neonatal cerebral lesions is critical for preventing long-term neurological damage and addressing life-threatening conditions. Cranial ultrasound is the primary screening tool, but the process is time-consuming...
Deep learning-based spatial analysis on tumor and immune cells of pathology images predicts MIBC prognosis.
PloS one
Aug 20, 2025
OBJECTIVE: Muscle-invasive bladder cancer (MIBC) is a highly aggressive disease with a poor prognosis. This study aims to explore the correlation between the spatial distribution of lymphocyte aggregates and the prognosis of MIBC using deep learning.
Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease.
BMC medical imaging
Aug 19, 2025
AIM: Timely intervention of interstitial lung disease (ILD) was promising for attenuating the lung function decline and improving clinical outcomes. The prone position HRCT is essential for early diagnosis of ILD, but limited by its high radiation ex...
Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT.
Cancer imaging : the official publication of the International Cancer Imaging Society
Aug 19, 2025
OBJECTIVE: This study aimed to construct a multimodal imaging deep learning (DL) model integrating mpMRI and F-PSMA-PET/CT for the prediction of extraprostatic extension (EPE) in prostate cancer, and to assess its effectiveness in enhancing the diagn...
NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model.
BMC bioinformatics
Aug 19, 2025
BACKGROUND: Accurate identification of translation initiation sites is essential for the proper translation of mRNA into functional proteins. In eukaryotes, the choice of the translation initiation site is influenced by multiple factors, including it...
University english teaching evaluation using artificial intelligence and data mining technology.
Scientific reports
Aug 19, 2025
This work intends to drive reform and innovation in English teaching evaluation and support personalized English instruction. It utilizes deep learning (DL) and artificial intelligence (AI)-driven data mining technology to explore a reliable and effi...
Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.
Scientific reports
Aug 19, 2025
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us...
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