AIMC Topic: Image Interpretation, Computer-Assisted

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Implementation of biomedical segmentation for brain tumor utilizing an adapted U-net model.

Computers in biology and medicine Jun 11, 2025
Using radio signals from a magnetic field, magnetic resonance imaging (MRI) represents a medical procedure that produces images to provide more information than typical scans. Diagnosing brain tumors from MRI is difficult because of the wide range of...
Algorithms Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Towards more reliable prostate cancer detection: Incorporating clinical data and uncertainty in MRI deep learning.

Computers in biology and medicine Jun 11, 2025
Prostate cancer (PCa) is one of the most common cancers among men, and artificial intelligence (AI) is emerging as a promising tool to enhance its diagnosis. This work proposes a classification approach for PCa cases using deep learning techniques. W...
Male Middle Aged Deep Learning Humans Aged Uncertainty Magnetic Resonance Imaging Prostatic Neoplasms Image Interpretation, Computer-Assisted
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Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match.

PloS one Jun 9, 2025
Machine learning (ML) classification of myocardial scarring in cardiac MRI is often hindered by limited explainability, particularly with convolutional neural networks (CNNs). To address this, we developed One Match (OM), an algorithm that builds on ...
Image Interpretation, Computer-Assisted Myocardium Heart Aged Machine Learning Male Humans Convolutional Neural Networks Algorithms Middle Aged Neural Networks, Computer Magnetic Resonance Imaging Female Cicatrix
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Enhancing and advancements in deep learning for melanoma detection: A comprehensive review.

Computers in biology and medicine Jun 7, 2025
Melanoma, although not the most common skin cancer, poses a significant global health challenge, particularly in Europe, where incidence rates are high. Traditional melanoma diagnosis through biopsies can be invasive, but advancements in artificial i...
Humans Melanoma Image Interpretation, Computer-Assisted Skin Neoplasms Deep Learning
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Advances in disease detection through retinal imaging: A systematic review.

Computers in biology and medicine Jun 6, 2025
Ocular and non-ocular diseases significantly impact millions of people worldwide, leading to vision impairment or blindness if not detected and managed early. Many individuals could be prevented from becoming blind by treating these diseases early on...
Humans Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Machine Learning Deep Learning Retinal Diseases Retina
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A method for spatial interpretation of weakly supervised deep learning models in computational pathology.

Scientific reports Jun 5, 2025
Deep learning enables the modelling of high-resolution histopathology whole-slide images (WSI). Weakly supervised learning of tile-level data is typically applied for tasks where labels only exist on the patient or WSI level (e.g. patient outcomes or...
Image Processing, Computer-Assisted Female Humans Supervised Machine Learning Breast Neoplasms Algorithms Image Interpretation, Computer-Assisted Deep Learning
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Impact of AI-Generated ADC Maps on Computer-Aided Diagnosis of Prostate Cancer: A Feasibility Study.

Academic radiology Jun 4, 2025
RATIONALE AND OBJECTIVES: To evaluate the impact of AI-generated apparent diffusion coefficient (ADC) maps on diagnostic performance of a 3D U-Net AI model for prostate cancer (PCa) detection and segmentation at biparametric MRI (bpMRI).
Aged Sensitivity and Specificity Male Artificial Intelligence Retrospective Studies Feasibility Studies Image Interpretation, Computer-Assisted Middle Aged Diffusion Magnetic Resonance Imaging Humans Diagnosis, Computer-Assisted Prostatic Neoplasms
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Deep learning model applied to real-time delineation of colorectal polyps.

BMC medical informatics and decision making Jun 4, 2025
BACKGROUND: Deep learning models have shown considerable potential to improve diagnostic accuracy across medical fields. Although YOLACT has demonstrated real-time detection and segmentation in non-medical datasets, its application in medical setting...
Colonic Polyps Humans Image Interpretation, Computer-Assisted Colonoscopy Deep Learning
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Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning-Reconstructed Double Inversion Recovery MRI Approach.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: The imaging of inflammatory myelopathies has advanced significantly across time, with MRI techniques playing a pivotal role in enhancing lesion detection. However, the impact of deep learning (DL)-based reconstruction on 3D do...
Male Middle Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Female Adult
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Application research of artificial intelligence software in the analysis of thyroid nodule ultrasound image characteristics.

PloS one Jun 2, 2025
Thyroid nodule, as a common clinical endocrine disease, has become increasingly prevalent worldwide. Ultrasound, as the premier method of thyroid imaging, plays an important role in accurately diagnosing and managing thyroid nodules. However, there i...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Artificial Intelligence Software Middle Aged Female Ultrasonography Adult Thyroid Nodule Male
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