AI Medical Compendium Topic:
Image Interpretation, Computer-Assisted

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LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation.

Journal of imaging informatics in medicine Feb 26, 2024
Deep learning can exceed dermatologists' diagnostic accuracy in experimental image environments. However, inaccurate segmentation of images with multiple skin lesions can be seen with current methods. Thus, information present in multiple-lesion imag...
Humans Image Processing, Computer-Assisted Dermoscopy Image Interpretation, Computer-Assisted Neural Networks, Computer Skin Deep Learning Algorithms Skin Diseases Databases, Factual Skin Neoplasms
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Automated curation of large-scale cancer histopathology image datasets using deep learning.

Histopathology Feb 26, 2024
BACKGROUND: Artificial intelligence (AI) has numerous applications in pathology, supporting diagnosis and prognostication in cancer. However, most AI models are trained on highly selected data, typically one tissue slide per patient. In reality, espe...
Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Image Interpretation, Computer-Assisted Colorectal Neoplasms
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An Automated Heart Shunt Recognition Pipeline Using Deep Neural Networks.

Journal of imaging informatics in medicine Feb 22, 2024
Automated recognition of heart shunts using saline contrast transthoracic echocardiography (SC-TTE) has the potential to transform clinical practice, enabling non-experts to assess heart shunt lesions. This study aims to develop a fully automated and...
Microbubbles Humans Neural Networks, Computer Echocardiography Middle Aged Contrast Media Female Image Interpretation, Computer-Assisted Adult Male
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Improved 3D DESS MR neurography of the lumbosacral plexus with deep learning and geometric image combination reconstruction.

Skeletal radiology Feb 22, 2024
OBJECTIVE: To evaluate the impact of deep learning (DL) reconstruction in enhancing image quality and nerve conspicuity in LSP MRN using DESS sequences. Additionally, a geometric image combination (GIC) method to improve DESS signals' combination was...
Middle Aged Deep Learning Imaging, Three-Dimensional Image Enhancement Lumbosacral Plexus Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Female Adult Male Humans Prospective Studies
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Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists.

Journal of imaging informatics in medicine Feb 21, 2024
Segmentation of glioma is crucial for quantitative brain tumor assessment, to guide therapeutic research and clinical management, but very time-consuming. Fully automated tools for the segmentation of multi-sequence MRI are needed. We developed and p...
Middle Aged Deep Learning Glioma Adult Image Interpretation, Computer-Assisted Humans Magnetic Resonance Imaging Brain Neoplasms Neural Networks, Computer Male Radiologists Female
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Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas.

Neuroradiology Feb 19, 2024
PURPOSE: To evaluate the diagnostic value of T1-weighted 3D fast spin-echo sequence (CUBE) with deep learning-based reconstruction (DLR) for depiction of pituitary adenoma and parasellar regions on contrast-enhanced MRI.
Neoplasm, Residual Deep Learning Imaging, Three-Dimensional Contrast Media Adenoma Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Pituitary Neoplasms Adult Male Middle Aged Retrospective Studies Female Aged Humans
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Comments on "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Feb 17, 2024
Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Female Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging
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Responds to the Comments on "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
Humans Female Breast Neoplasms Deep Learning Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Breast Image Interpretation, Computer-Assisted
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Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3.

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
BACKGROUND: For patients with PI-RADS v2.1 ≥ 3, prostate biopsy is strongly recommended. Due to the unsatisfactory positive rate of biopsy, improvements in clinically significant prostate cancer (csPCa) risk assessments are required.
Prostate Biopsy Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Retrospective Studies Prostatic Neoplasms Echo-Planar Imaging Reproducibility of Results Risk Assessment Prostate-Specific Antigen Humans Aged Male ROC Curve Machine Learning Middle Aged
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Artificial Intelligence for Breast Ultrasound: Expert Panel Narrative Review.

AJR. American journal of roentgenology Feb 14, 2024
Breast ultrasound is used in a wide variety of clinical scenarios, including both diagnostic and screening applications. Limitations of ultrasound, however, include its low specificity and, for automated breast ultrasound screening, the time necessar...
Female Breast Neoplasms Ultrasonography, Mammary Image Interpretation, Computer-Assisted Humans Artificial Intelligence
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