AIMC Topic: Deep Learning

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DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI.

NeuroImage Feb 6, 2025
This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution (1 mm) or using mono-modal data, the proposed method improves cerebellum lobule s...
Neuroimaging Humans Female Magnetic Resonance Imaging Male Multimodal Imaging Adult Cerebellum Deep Learning Image Processing, Computer-Assisted
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QMaxViT-Unet+: A query-based MaxViT-Unet with edge enhancement for scribble-supervised segmentation of medical images.

Computers in biology and medicine Feb 6, 2025
The deployment of advanced deep learning models for medical image segmentation is often constrained by the requirement for extensively annotated datasets. Weakly-supervised learning, which allows less precise labels, has become a promising solution t...
Humans Algorithms Image Processing, Computer-Assisted Supervised Machine Learning Databases, Factual Breast Neoplasms Deep Learning
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DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning.

Nature methods Feb 6, 2025
Neuroimaging has entered the era of big data. However, the advancement of preprocessing pipelines falls behind the rapid expansion of data volume, causing substantial computational challenges. Here we present DeepPrep, a pipeline empowered by deep le...
Magnetic Resonance Imaging Workflow Neuroimaging Brain Deep Learning Image Processing, Computer-Assisted Humans Software Algorithms
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Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives.

Journal of medicinal chemistry Feb 6, 2025
Drug discovery, a multifaceted process from compound identification to regulatory approval, historically plagued by inefficiencies and time lags due to limited data utilization, now faces urgent demands for accelerated lead compound identification. I...
Deep Learning Biological Products Artificial Intelligence Humans Machine Learning Drug Discovery
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Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms in .

Proceedings of the National Academy of Sciences of the United States of America Feb 6, 2025
Tuberculosis (TB), caused by , remains a significant global health threat, affecting an estimated 10.6 million people in 2022. The emergence of multidrug resistant and extensively drug resistant strains necessitates the development of novel and effec...
Microbial Sensitivity Tests Antitubercular Agents Tuberculosis Humans Neural Networks, Computer Deep Learning Mycobacterium tuberculosis
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Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging.

Sensors (Basel, Switzerland) Feb 6, 2025
Ensuring the safety and quality of poultry products requires efficient detection and removal of foreign materials during processing. Hyperspectral imaging (HSI) offers a non-invasive mechanism to capture detailed spatial and spectral information, ena...
Deep Learning Animals Meat Poultry Hyperspectral Imaging Spectroscopy, Near-Infrared
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WDRIV-Net: a weighted ensemble transfer learning to improve automatic type stratification of lumbar intervertebral disc bulge, prolapse, and herniation.

Biomedical engineering online Feb 6, 2025
The degeneration of the intervertebral discs in the lumbar spine is the common cause of neurological and physical dysfunctions and chronic disability of patients, which can be stratified into single-(e.g., disc herniation, prolapse, or bulge) and com...
Intervertebral Disc Machine Learning Automation Female Adult Image Processing, Computer-Assisted Male Humans Magnetic Resonance Imaging Middle Aged Intervertebral Disc Degeneration Lumbar Vertebrae Deep Learning Intervertebral Disc Displacement
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Integrating manual annotation with deep transfer learning and radiomics for vertebral fracture analysis.

BMC medical imaging Feb 6, 2025
BACKGROUND: Vertebral compression fractures (VCFs) are prevalent in the elderly, often caused by osteoporosis or trauma. Differentiating acute from chronic VCFs is vital for treatment planning, but MRI, the gold standard, is inaccessible for some. Ho...
Magnetic Resonance Imaging Spinal Fractures Fractures, Compression Middle Aged Deep Learning ROC Curve Aged, 80 and over Radiomics Male Humans Retrospective Studies Tomography, X-Ray Computed Female Aged
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study.

Journal of medical Internet research Feb 6, 2025
BACKGROUND: Mumps is a viral respiratory disease characterized by facial swelling and transmitted through respiratory secretions. Despite the availability of an effective vaccine, mumps outbreaks have reemerged globally, including in China, where it ...
Deep Learning China Incidence Female Humans Mumps Male Forecasting Disease Outbreaks
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI.

European radiology experimental Feb 6, 2025
BACKGROUND: Gadolinium-enhanced "sampling perfection with application-optimized contrasts using different flip angle evolution" (SPACE) sequence allows better visualization of brain metastases (BMs) compared to "magnetization-prepared rapid acquisiti...
Adult Sensitivity and Specificity Brain Neoplasms Retrospective Studies Female Aged Contrast Media Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Organometallic Compounds Humans Male Algorithms Middle Aged Deep Learning
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