AIMC Topic: Image Interpretation, Computer-Assisted

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Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images.

Scientific reports Jul 8, 2025
Detecting skin melanoma in the early stage using dermoscopic images presents a complex challenge due to the inherent variability in images. Utilizing dermatology datasets, the study aimed to develop Automated Diagnostic Systems for early skin cancer ...
Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer Humans Skin Neoplasms Melanoma Dermoscopy Reproducibility of Results
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Integrating radiomic texture analysis and deep learning for automated myocardial infarction detection in cine-MRI.

Scientific reports Jul 8, 2025
Robust differentiation between infarcted and normal myocardial tissue is essential for improving diagnostic accuracy and personalizing treatment in myocardial infarction (MI). This study proposes a hybrid framework combining radiomic texture analysis...
Humans Radiomics Myocardial Infarction Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Male Deep Learning Image Processing, Computer-Assisted
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The case for homebrew AI in diagnostic pathology.

The Journal of pathology Jul 4, 2025
Artificial intelligence (AI) methods for digital pathology have tremendous potential to improve cancer diagnostics, biomarkers, and ultimately patient care. These AI methods, if marketed and sold, require authorisation or clearance as in vitro diagno...
Pathology, Clinical United States Food and Drug Administration Image Interpretation, Computer-Assisted European Union Humans Artificial Intelligence United States
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Deep learning-based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy.

BMC medical imaging Jul 4, 2025
BACKGROUND: To evaluate the performance of deep learning models in classifying parotid gland tumors using T2-weighted, diffusion-weighted, and contrast-enhanced T1-weighted MR images, along with DCE data derived from time-intensity curves.
Adult Male Middle Aged Retrospective Studies Female Aged Parotid Gland Parotid Neoplasms Image Interpretation, Computer-Assisted Deep Learning Contrast Media Magnetic Resonance Imaging Humans
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Multi channel fusion diffusion models for brain tumor MRI data augmentation.

Scientific reports Jul 2, 2025
The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques such as MRI and CT scans are essential tools for diagnosing brain tumors. However, high-quality medical image data for brain tumors is often scarce a...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Humans Algorithms Brain Neoplasms
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Preoperative MRI-based deep learning reconstruction and classification model for assessing rectal cancer.

BMC medical imaging Jul 1, 2025
BACKGROUND: To determine whether deep learning reconstruction (DLR) could improve the image quality of rectal MR images, and to explore the discrimination of the TN stage of rectal cancer by different readers and deep learning classification models, ...
Signal-To-Noise Ratio Male Diffusion Magnetic Resonance Imaging Middle Aged ROC Curve Aged Neoplasm Staging Humans Deep Learning Image Processing, Computer-Assisted Aged, 80 and over Rectal Neoplasms Retrospective Studies Magnetic Resonance Imaging Adult Female Image Interpretation, Computer-Assisted
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Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women.

BMC medical imaging Jul 1, 2025
BACKGROUND: Current ultrasound-based screening for endometrial cancer (EC) primarily relies on endometrial thickness (ET) and morphological evaluation, which suffer from low specificity and high interobserver variability. This study aimed to develop ...
Endometrial Neoplasms Endometrium Image Interpretation, Computer-Assisted Postmenopause Middle Aged Deep Learning Ultrasonography Neural Networks, Computer Machine Learning Female Algorithms Aged Humans Sensitivity and Specificity
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Eff-ReLU-Net: a deep learning framework for multiclass wound classification.

BMC medical imaging Jul 1, 2025
Chronic wounds have emerged as a significant medical challenge due to their adverse effects, including infections leading to amputations. Over the past few years, the prevalence of chronic wounds has grown, thus posing significant health hazards. It ...
Humans Reproducibility of Results Deep Learning Image Interpretation, Computer-Assisted Wounds and Injuries
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Leveraging an ensemble of EfficientNetV1 and EfficientNetV2 models for classification and interpretation of breast cancer histopathology images.

Scientific reports Jul 1, 2025
Breast cancer is the second leading cause of cancer-related deaths among women, following lung cancer, as of 2024. Conventional cancer diagnosis relies on the manual examination of biopsied tissues by pathologists, a time-consuming process that may v...
Image Interpretation, Computer-Assisted Breast Neoplasms Humans Diagnosis, Computer-Assisted Neural Networks, Computer Image Processing, Computer-Assisted Female
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Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction.

Scientific reports Jul 1, 2025
Effective treatment for brain tumors relies on accurate detection because this is a crucial health condition. Medical imaging plays a pivotal role in improving tumor detection and diagnosis in the early stage. This study presents two approaches to th...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Brain Neoplasms Deep Learning
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