AIMC Topic: Deep Learning

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Integrating non-linear radon transformation for diabetic retinopathy grading.

Scientific reports Aug 21, 2025
Diabetic retinopathy is a serious ocular complication that poses a significant threat to patients' vision and overall health. Early detection and accurate grading are essential to prevent vision loss. Current automatic grading methods rely heavily on...
Image Processing, Computer-Assisted Fundus Oculi Retina Neural Networks, Computer Deep Learning Humans Diabetic Retinopathy
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Deep Learning for the Early Detection of Invasive Ductal Carcinoma in Histopathological Images: Convolutional Neural Network Approach With Transfer Learning.

JMIR formative research Aug 21, 2025
BACKGROUND: Invasive ductal carcinoma (IDC) is considered the most common form of breast cancer, accounting for a significant percentage of mortality worldwide. Therefore, its early detection is vital to further improve patients' outcomes and surviva...
Humans Neural Networks, Computer Carcinoma, Ductal, Breast Deep Learning Female Convolutional Neural Networks Breast Neoplasms Early Detection of Cancer
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Memory-enhanced and multi-domain learning-based deep unrolling network for medical image reconstruction.

Physics in medicine and biology Aug 21, 2025
. Reconstructing high-quality images from corrupted measurements remains a fundamental challenge in medical imaging. Recently, deep unrolling (DUN) methods have emerged as a promising solution, combining the interpretability of traditional iterative ...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Deep Learning
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An improved YOLOv8s-based UAV target detection algorithm.

PloS one Aug 21, 2025
At present, the low-altitude economy is booming, and the application of drones has shown explosive growth, injecting new vitality into economic development. UAVs will face complex environmental perception and security risks when operating in low airs...
Algorithms Unmanned Aerial Devices Detection Algorithms Deep Learning
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An novel cloud task scheduling framework using hierarchical deep reinforcement learning for cloud computing.

PloS one Aug 21, 2025
With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this...
Reinforcement Machine Learning Deep Learning Cloud Computing Humans Algorithms
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Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset.

PloS one Aug 21, 2025
BACKGROUND: Retinal fundus images provide a noninvasive window into systemic health, offering opportunities for early detection of metabolic disorders such as metabolic syndrome (METS).
Male Middle Aged Aged Adult Metabolic Syndrome East Asian People Fundus Oculi Deep Learning ROC Curve Humans Retrospective Studies Female Neural Networks, Computer Retina Japan
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EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification.

PloS one Aug 21, 2025
The classification of hyperspectral images (HSI) is an important foundation in the field of remote sensing. Mamba architectures based on state space model (SSM) have shown great potential in the field of HSI processing due to their powerful long-rang...
Algorithms Image Processing, Computer-Assisted Deep Learning Models, Theoretical Remote Sensing Technology Hyperspectral Imaging
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AlzFormer: Multi-modal framework for Alzheimer's classification using MRI and graph-embedded demographics guided by adaptive attention gating.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 20, 2025
Alzheimer's disease (AD) is the most common neurodegenerative progressive disorder and the fifth-leading cause of death in older people. The detection of AD is a very challenging task for clinicians and radiologists due to the complex nature of this ...
Female Aged Male Machine Learning Brain Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Deep Learning Imaging, Three-Dimensional Humans
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Criteria-calibration approaches to deep learning-based cervical cancer radiation treatment auto-planning.

Radiation oncology (London, England) Aug 20, 2025
BACKGROUND: Knowledge-Based Planning (KBP) pipelines, which integrate machine learning-based models to predict dose distribution, have gained popularity in clinical radiation therapy. However, for patients with specific requirements, the trained mode...
Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Retrospective Studies Radiotherapy Planning, Computer-Assisted Uterine Cervical Neoplasms Female Calibration Deep Learning
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Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.

Scientific reports Aug 20, 2025
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and often lack crucial diagnostic details, particularly within the cell nuclei...
Image Processing, Computer-Assisted Humans Cell Nucleus Deep Learning Frozen Sections
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