AIMC Topic: Image Interpretation, Computer-Assisted

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A survey on cell nuclei instance segmentation and classification: Leveraging context and attention.

Medical image analysis Oct 5, 2024
Nuclear-derived morphological features and biomarkers provide relevant insights regarding the tumour microenvironment, while also allowing diagnosis and prognosis in specific cancer types. However, manually annotating nuclei from the gigapixel Haemat...
Image Interpretation, Computer-Assisted Cell Nucleus Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Ensemble approach of deep learning models for binary and multiclass classification of histopathological images for breast cancer.

Pathology, research and practice Oct 5, 2024
Breast cancer (BC) is the most frequently occurring cancer disease observed in women after lung cancer. Out of different stages, invasive ductal BC causes maximum deaths in women. In this work, three deep learning (DL) models such as Vision Transform...
Humans Deep Learning Female Image Interpretation, Computer-Assisted Breast Neoplasms
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A Lightweight Method for Breast Cancer Detection Using Thermography Images with Optimized CNN Feature and Efficient Classification.

Journal of imaging informatics in medicine Oct 2, 2024
Breast cancer is a prominent cause of death among women worldwide. Infrared thermography, due to its cost-effectiveness and non-ionizing radiation, has emerged as a promising tool for early breast cancer diagnosis. This article presents a hybrid mode...
Image Interpretation, Computer-Assisted Thermography Breast Neoplasms Support Vector Machine Humans Neural Networks, Computer Female
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Histopathology-driven prostate cancer identification: A VBIR approach with CLAHE and GLCM insights.

Computers in biology and medicine Oct 2, 2024
Efficient extraction and analysis of histopathological images are crucial for accurate medical diagnoses, particularly for prostate cancer. This research enhances histopathological image reclamation by integrating Visual-Based Image Reclamation (VBIR...
Humans Algorithms Male Image Interpretation, Computer-Assisted Support Vector Machine Prostatic Neoplasms Prostate
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Machine learning models for discriminating clinically significant from clinically insignificant prostate cancer using bi-parametric magnetic resonance imaging.

Diagnostic and interventional radiology (Ankara, Turkey) Oct 1, 2024
PURPOSE: This study aims to demonstrate the performance of machine learning algorithms to distinguish clinically significant prostate cancer (csPCa) from clinically insignificant prostate cancer (ciPCa) in prostate bi-parametric magnetic resonance im...
Aged Male Middle Aged Algorithms Retrospective Studies Neoplasm Grading Prostate Image Interpretation, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Prostatic Neoplasms Humans Machine Learning
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MobileNet-V2: An Enhanced Skin Disease Classification by Attention and Multi-Scale Features.

Journal of imaging informatics in medicine Oct 1, 2024
The increasing prevalence of skin diseases necessitates accurate and efficient diagnostic tools. This research introduces a novel skin disease classification model leveraging advanced deep learning techniques. The proposed architecture combines the M...
Skin Diseases Image Interpretation, Computer-Assisted Databases, Factual Dermoscopy Deep Learning Humans
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Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI.

Journal of magnetic resonance imaging : JMRI Oct 1, 2024
BACKGROUND: Automated approaches may allow for fast, reproducible clinical assessment of cardiovascular diseases from MRI.
Cardiomyopathy, Dilated Algorithms Retrospective Studies Female Reproducibility of Results Heart Aged Heart Ventricles Adult Image Interpretation, Computer-Assisted Middle Aged Cardiomyopathy, Hypertrophic Sensitivity and Specificity Humans Deep Learning Myocardial Ischemia Image Processing, Computer-Assisted Male Magnetic Resonance Imaging, Cine
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Deep Learning Approaches for Brain Tumor Detection and Classification Using MRI Images (2020 to 2024): A Systematic Review.

Journal of imaging informatics in medicine Sep 30, 2024
Brain tumor is a type of disease caused by uncontrolled cell proliferation in the brain leading to serious health issues such as memory loss and motor impairment. Therefore, early diagnosis of brain tumors plays a crucial role to extend the survival ...
Humans Image Interpretation, Computer-Assisted Brain Neoplasms Deep Learning Magnetic Resonance Imaging
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Deep Learning Classification of Ischemic Stroke Territory on Diffusion-Weighted MRI: Added Value of Augmenting the Input with Image Transformations.

Journal of imaging informatics in medicine Sep 30, 2024
Our primary aim with this study was to build a patient-level classifier for stroke territory in DWI using AI to facilitate fast triage of stroke to a dedicated stroke center. A retrospective collection of DWI images of 271 and 122 consecutive acute i...
Humans Retrospective Studies Deep Learning Ischemic Stroke Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Aged, 80 and over Male Middle Aged Female Aged
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PViT-AIR: Puzzling vision transformer-based affine image registration for multi histopathology and faxitron images of breast tissue.

Medical image analysis Sep 30, 2024
Breast cancer is a significant global public health concern, with various treatment options available based on tumor characteristics. Pathological examination of excision specimens after surgery provides essential information for treatment decisions....
Image Processing, Computer-Assisted Female Image Interpretation, Computer-Assisted Humans Breast Neoplasms Algorithms Deep Learning
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