AIMC Topic: Deep Learning
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Deep learning approach for automated hMPV classification.
Scientific reports
Aug 8, 2025
Human metapneumovirus (hMPV) is a significant cause of respiratory illness, particularly in children, elderly individuals, and immunocompromised patients. Despite its clinical relevance, hMPV poses diagnostic challenges due to its symptom similarity ...
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...
BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.
Scientific reports
Aug 8, 2025
Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a primary cancer that occurs in women. Earlier identification of BC is significant in the treatment process. To lessen unwanted biopsies, Magnetic Resonan...
Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study.
PloS one
Aug 8, 2025
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease worldwide, affecting over 30% of the global general population. Its progressive nature and association with other chronic diseases make...
AI-driven multi-modal framework for prognostic modeling in glioblastoma: Enhancing clinical decision support.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 7, 2025
OBJECTIVE: Glioblastoma (GBM) is the most aggressive malignant brain tumor, associated with poor prognosis and limited therapeutic options. Accurate prognostic modeling is essential for guiding personalized treatment strategies. However, existing mod...
Deep learning model enables the discovery of a novel BET inhibitor YD-851.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Aug 7, 2025
BET inhibitor is a novel strategy in tumor therapy based on targeting epigenetic mechanism. In recent decades, dozens of clinical trials have been conducted to validate the potential efficacy of the first-generation BET inhibitors in refractory cance...
Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.
Scientific reports
Aug 7, 2025
Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. The chances of successful treatment are greatly reduced if the melanoma is not treated in its early stages because it could spread aggressively. Hence,...
Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer's disease progression.
Alzheimer's research & therapy
Aug 7, 2025
BACKGROUND: Alzheimer's disease (AD) is the principal cause of dementia and requires the early diagnosis of people with mild cognitive impairment (MCI) who are at high risk of progressing. Early diagnosis is imperative for optimizing clinical managem...
Multi-module UNet++ for colon cancer histopathological image segmentation.
Scientific reports
Aug 7, 2025
In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellular contours serves as the fundamental basis for achieving accurate clinical diagnosis. However, this task presents significant challenges due to compl...
Integrated 3D Modeling and Functional Simulation of the Human Amygdala: A Novel Anatomical and Computational Analyses.
Neuroinformatics
Aug 7, 2025
The amygdala plays a central role in emotion, memory, and decision-making and comprises approximately 13 distinct nuclei with connectivity. Despite its functional importance, high-resolution subnuclear mapping is challenging. This study aimed to cons...
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