AIMC Topic: Deep Learning
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Deep Learning Predicts Non-Normal Transmission Distributions in High-Field Asymmetric Waveform Ion Mobility (FAIMS) Directly from Peptide Sequence.
Analytical chemistry
Jan 26, 2025
Peptide ion mobility adds an extra dimension of separation to mass spectrometry-based proteomics. The ability to accurately predict peptide ion mobility would be useful to expedite assay development and to discriminate true answers in a database sear...
Artificial Intelligence in Pancreatic Imaging: A Systematic Review.
United European gastroenterology journal
Jan 26, 2025
The rising incidence of pancreatic diseases, including acute and chronic pancreatitis and various pancreatic neoplasms, poses a significant global health challenge. Pancreatic ductal adenocarcinoma (PDAC) for example, has a high mortality rate due to...
Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults.
European radiology
Jan 25, 2025
OBJECTIVES: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and accurately using convolutional neural networks (CNNs), making them an ideal extension to standard forensic age estimation methods. This study evaluate...
Unrolled deep learning for breast cancer detection using limited-view photoacoustic tomography data.
Medical & biological engineering & computing
Jan 25, 2025
Photoacoustic tomography (PAT) has emerged as a promising imaging modality for breast cancer detection, offering unique advantages in visualizing tissue composition without ionizing radiation. However, limited-view scenarios in clinical settings pres...
A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography.
Clinical radiology
Jan 25, 2025
AIM: Spine fractures are a frequent and relevant diagnosis, but systematic documentation is time-consuming and sometimes overlooked. A deep learning pipeline for opportunistic fracture detection in computed tomography (CT) spine images of varying fie...
A bio-lattice deep learning framework for modeling discrete biological materials.
Journal of the mechanical behavior of biomedical materials
Jan 25, 2025
Biological tissues dynamically adapt their mechanical properties at the microscale in response to stimuli, often governed by discrete interacting mechanisms that dictate the material's behavior at the macroscopic scale. An approach to model the discr...
Enhancing cardiovascular disease classification in ECG spectrograms by using multi-branch CNN.
Computers in biology and medicine
Jan 25, 2025
Cardiovascular disease (CVD) is caused by the abnormal functioning of the heart which results in a high mortality rate across the globe. The accurate and early prediction of various CVDs from the electrocardiogram (ECG) is vital for the prevention of...
OCDet: A comprehensive ovarian cell detection model with channel attention on immunohistochemical and morphological pathology images.
Computers in biology and medicine
Jan 25, 2025
BACKGROUND: Ovarian cancer is among the most lethal gynecologic malignancy that threatens women's lives. Pathological diagnosis is a key tool for early detection and diagnosis of ovarian cancer, guiding treatment strategies. The evaluation of various...
Radar Signal Processing and Its Impact on Deep Learning-Driven Human Activity Recognition.
Sensors (Basel, Switzerland)
Jan 25, 2025
Human activity recognition (HAR) using radar technology is becoming increasingly valuable for applications in areas such as smart security systems, healthcare monitoring, and interactive computing. This study investigates the integration of convoluti...
Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach.
Scientific reports
Jan 25, 2025
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparametric MRI. We focused on multi-habitat deep image descriptors as our basic focus. A subset of the BRATS 2021 MGMT methylation dataset containing both M...
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