AIMC Topic: Image Processing, Computer-Assisted

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Recent Advances in Structured Illumination Microscopy: From Fundamental Principles to AI-Enhanced Imaging.

Small methods Mar 3, 2025
Structured illumination microscopy (SIM) has emerged as a pivotal super-resolution technique in biological imaging. This review aims to introduce the fundamental principles of SIM, primarily focuses on the latest developments in super-resolution SIM ...
Microscopy Artificial Intelligence Algorithms Image Processing, Computer-Assisted Lighting Deep Learning Humans Neural Networks, Computer
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Deep Learning-Based Diagnostic Model for Parkinson's Disease Using Handwritten Spiral and Wave Images.

Current medical science Mar 3, 2025
OBJECTIVE: To develop and validate a deep neural network (DNN) model for diagnosing Parkinson's Disease (PD) using handwritten spiral and wave images, and to compare its performance with various machine learning (ML) and deep learning (DL) models.
Deep Learning Female Humans Sensitivity and Specificity Parkinson Disease Image Processing, Computer-Assisted Support Vector Machine Male Handwriting Neural Networks, Computer
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An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models.

Scientific reports Mar 3, 2025
Skin cancer is the most dominant and critical method of cancer, which arises all over the world. Its damaging effects can range from disfigurement to major medical expenditures and even death if not analyzed and preserved timely. Conventional models ...
Algorithms Humans Skin Neoplasms Convolutional Neural Networks Deep Learning Image Processing, Computer-Assisted
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Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off-the-shelf features: A dual-dataset study.

Journal of applied clinical medical physics Mar 2, 2025
BACKGROUND: This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image-based HPV prediction methods are hindered by high computational ...
Male Image Processing, Computer-Assisted Papillomaviridae Oropharyngeal Neoplasms Papillomavirus Infections Human Papillomavirus Viruses Humans Algorithms Tomography, X-Ray Computed Neural Networks, Computer Female
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Development of a deep learning radiomics model combining lumbar CT, multi-sequence MRI, and clinical data to predict high-risk cage subsidence after lumbar fusion: a retrospective multicenter study.

Biomedical engineering online Mar 2, 2025
BACKGROUND: To develop and validate a model that integrates clinical data, deep learning radiomics, and radiomic features to predict high-risk patients for cage subsidence (CS) after lumbar fusion.
Spinal Fusion Lumbar Vertebrae Image Processing, Computer-Assisted Magnetic Resonance Imaging Adult Retrospective Studies Radiomics Tomography, X-Ray Computed Middle Aged Aged Humans Female Deep Learning Male
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Sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization.

Computers in biology and medicine Mar 1, 2025
Cone beam computed tomography (CBCT) is an emerging medical imaging technique to visualize the internal anatomical structures of patients. During a CBCT scan, several projection images of different angles or views are collectively utilized to reconst...
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Phantoms, Imaging Neural Networks, Computer Algorithms Humans
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A feasibility study of lung tumor segmentation on kilo-voltage radiographic images with transfer learning: Toward tumor motion tracking in radiotherapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 1, 2025
PURPOSE: To segment the lung tumor on kilo-voltage X-ray radiographic images acquired during treatment toward the markerless lung tumor tracking.
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Algorithms Radiotherapy, Image-Guided Feasibility Studies Movement
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Tongue shape classification based on IF-RCNet.

Scientific reports Mar 1, 2025
The classification of tongue shapes is essential for objective tongue diagnoses. However, the accuracy of classification is influenced by numerous factors. First, considerable differences exist between individuals with the same tongue shape. Second, ...
Neural Networks, Computer Algorithms Tongue Image Processing, Computer-Assisted Humans
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A novel approach for estimating postmortem intervals under varying temperature conditions using pathology images and artificial intelligence models.

International journal of legal medicine Feb 28, 2025
Estimating the postmortem interval (PMI) is a critical yet complex task in forensic investigations, with accurate and timely determination playing a key role in case resolution and legal outcomes. Traditional methods often suffer from environmental v...
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Image Processing, Computer-Assisted Postmortem Changes Forensic Pathology Temperature Algorithms Deep Learning
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The Role of AI in the Evaluation of Neuroendocrine Tumors: Current State of the Art.

Seminars in nuclear medicine Feb 28, 2025
Advancements in Artificial Intelligence (AI) are driving a paradigm shift in the field of medical diagnostics, integrating new developments into various aspects of the clinical workflow. Neuroendocrine neoplasms are a diverse and heterogeneous group ...
Image Processing, Computer-Assisted Humans Neuroendocrine Tumors Artificial Intelligence
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