AIMC Topic: Deep Learning

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Rethinking boundary detection in deep learning-based medical image segmentation.

Medical image analysis May 6, 2025
Medical image segmentation is a pivotal task within the realms of medical image analysis and computer vision. While current methods have shown promise in accurately segmenting major regions of interest, the precise segmentation of boundary areas rema...
Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging
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Multi-task learning for joint prediction of breast cancer histological indicators in dynamic contrast-enhanced magnetic resonance imaging.

Computer methods and programs in biomedicine May 6, 2025
OBJECTIVES: Achieving efficient analysis of multiple pathological indicators has great significance for breast cancer prognosis and therapeutic decision-making. In this study, we aim to explore a deep multi-task learning (MTL) framework for collabora...
Prognosis Female Machine Learning Algorithms Contrast Media Magnetic Resonance Imaging Ki-67 Antigen Breast Neoplasms Deep Learning Humans
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Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.

Biomedical engineering online May 6, 2025
BACKGROUND: Accurate measurement of anterior segment parameters is crucial for diagnosing and managing ophthalmic conditions, such as glaucoma, cataracts, and refractive errors. However, traditional clinical measurement methods are often time-consumi...
Anterior Eye Segment Image Processing, Computer-Assisted Humans Microscopy, Acoustic Deep Learning
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Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis.

BMC cancer May 6, 2025
Non-coding RNAs (ncRNAs) play a crucial role in breast cancer progression, necessitating advanced computational approaches for precise disease classification. This study introduces a Deep Reinforcement Learning (DRL)-based framework for predicting nc...
Deep Learning Computational Biology Breast Neoplasms Biomarkers, Tumor RNA, Untranslated Support Vector Machine Prognosis Humans Metaplasia RNA, Long Noncoding Female
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Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.

eLife May 6, 2025
Deep learning-based methods have advanced animal pose estimation, enhancing accuracy, and efficiency in quantifying animal behavior. However, these methods frequently experience tracking drift, where noise-induced jumps in body point estimates compro...
Macaca Behavior, Animal Drosophila Deep Learning Mice Animals
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From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices.

Scientific reports May 6, 2025
Given the morphological similarity and medicinal efficacy differences between Acorus tatarinowii Rhizoma and Acorus calamus Rhizoma, both belonging to the Acorus rhizome slices, as well as the phenomenon of their mixed use in the market, this study a...
Algorithms Rhizome Image Processing, Computer-Assisted Medicine, Chinese Traditional Drugs, Chinese Herbal Acorus Deep Learning
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CrossConvPyramid: Deep Multimodal Fusion for Epileptic Magnetoencephalography Spike Detection.

IEEE journal of biomedical and health informatics May 6, 2025
Magnetoencephalography (MEG) is a vital non-invasive tool for epilepsy analysis, as it captures high-resolution signals that reflect changes in brain activity over time. The automated detection of epileptic spikes within these signals can significant...
Magnetoencephalography Algorithms Epilepsy Humans Brain Signal Processing, Computer-Assisted Deep Learning
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Multivariate Glucose Forecasting Using Deep Multihead Attention Layers Inside Neural Basis Expansion Networks.

IEEE journal of biomedical and health informatics May 6, 2025
Glucose forecasting is a crucial feature in a closed-loop diabetes management system relying on minimally invasive continuous glucose monitoring (CGM) sensors. Forecasting is required to prevent hyperglycaemia or hypoglycaemia due to delayed or incor...
Blood Glucose Signal Processing, Computer-Assisted Blood Glucose Self-Monitoring Neural Networks, Computer Deep Learning Humans
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WavFace: A Multimodal Transformer-Based Model for Depression Screening.

IEEE journal of biomedical and health informatics May 6, 2025
Depression, a prevalent mental health disorder with severe health and economic consequences, can be costly and difficult to detect. To alleviate this burden, recent research has been exploring the depression screening capabilities of deep learning (D...
Depression Adult Deep Learning Humans
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MLDA-Net: Multi-Level Deep Aggregation Network for 3D Nuclei Instance Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
Segmentation of cell nuclei from three-dimensional (3D) volumetric fluorescence microscopy images is crucial for biological and clinical analyses. In recent years, convolutional neural networks have become the reliable 3D medical image segmentation s...
Humans Deep Learning Imaging, Three-Dimensional Microscopy, Fluorescence Neural Networks, Computer Algorithms Cell Nucleus
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