AI Medical Compendium Journal:
Journal of imaging informatics in medicine

Showing 11 to 20 of 183 articles

Utilizing Pseudo Color Image to Improve the Performance of Deep Transfer Learning-Based Computer-Aided Diagnosis Schemes in Breast Mass Classification.

Journal of imaging informatics in medicine Oct 25, 2024
The purpose of this study is to investigate the impact of using morphological information in classifying suspicious breast lesions. The widespread use of deep transfer learning can significantly improve the performance of the mammogram based CADx sch...
Diagnosis, Computer-Assisted Mammography Deep Learning Color Humans Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Female Breast Neoplasms Middle Aged
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Integrating VAI-Assisted Quantified CXRs and Multimodal Data to Assess the Risk of Mortality.

Journal of imaging informatics in medicine Oct 24, 2024
To address the unmet need for a widely available examination for mortality prediction, this study developed a foundation visual artificial intelligence (VAI) to enhance mortality risk stratification using chest X-rays (CXRs). The VAI employed deep le...
Retrospective Studies Female Aged Deep Learning Humans Proportional Hazards Models Artificial Intelligence Radiography, Thoracic Male Middle Aged Risk Assessment
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Deep Learning Segmentation of Chromogenic Dye RNAscope From Breast Cancer Tissue.

Journal of imaging informatics in medicine Oct 23, 2024
RNAscope staining of breast cancer tissue allows pathologists to deduce genetic characteristics of the cancer by inspection at the microscopic level, which can lead to better diagnosis and treatment. Chromogenic RNAscope staining is easy to fit into ...
Breast Neoplasms Deep Learning Coloring Agents Humans Female
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Knee Osteoarthritis SCAENet: Adaptive Knee Osteoarthritis Severity Assessment Using Spatial Separable Convolution with Attention-Based Ensemble Networks with Hybrid Optimization Strategy.

Journal of imaging informatics in medicine Oct 22, 2024
Osteoarthritis (OA) of the knee is a chronic state that significantly lowers the quality of life for its patients. Early detection and lifetime monitoring of the progression of OA are necessary for preventive therapy. In the course of therapy, the Ke...
Humans Neural Networks, Computer Female Male Middle Aged Severity of Illness Index Osteoarthritis, Knee Deep Learning Image Interpretation, Computer-Assisted
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Addressing Challenges in Skin Cancer Diagnosis: A Convolutional Swin Transformer Approach.

Journal of imaging informatics in medicine Oct 22, 2024
Skin cancer is one of the top three hazardous cancer types, and it is caused by the abnormal proliferation of tumor cells. Diagnosing skin cancer accurately and early is crucial for saving patients' lives. However, it is a challenging task due to var...
Skin Neoplasms Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Transformer-Integrated Hybrid Convolutional Neural Network for Dose Prediction in Nasopharyngeal Carcinoma Radiotherapy.

Journal of imaging informatics in medicine Oct 18, 2024
Radiotherapy is recognized as the major treatment of nasopharyngeal carcinoma. Rapid and accurate dose prediction can improve the efficiency of the treatment planning process and the quality of radiotherapy plans. Currently, deep learning-based metho...
Nasopharyngeal Neoplasms Radiotherapy Dosage Nasopharyngeal Carcinoma Humans Deep Learning Convolutional Neural Networks Radiotherapy Planning, Computer-Assisted
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A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.

Journal of imaging informatics in medicine Oct 15, 2024
This study aims to investigate whether global mammographic radiomic features (GMRFs) can distinguish hardest- from easiest-to-interpret normal cases for radiology trainees (RTs). Data from 137 RTs were analysed, with each interpreting seven education...
Radiographic Image Interpretation, Computer-Assisted Mammography Radiology Female Adult Breast Neoplasms Radiomics Clinical Competence Humans Machine Learning
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BCCHI-HCNN: Breast Cancer Classification from Histopathological Images Using Hybrid Deep CNN Models.

Journal of imaging informatics in medicine Oct 14, 2024
Breast cancer is the most common cancer in women globally, imposing a significant burden on global public health due to high death rates. Data from the World Health Organization show an alarming annual incidence of nearly 2.3 million new cases, drawi...
Humans Neural Networks, Computer Deep Learning Support Vector Machine Decision Trees Algorithms Female Breast Neoplasms Principal Component Analysis Image Interpretation, Computer-Assisted
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Deep Learning-Based Estimation of Radiographic Position to Automatically Set Up the X-Ray Prime Factors.

Journal of imaging informatics in medicine Oct 14, 2024
Radiation dose and image quality in radiology are influenced by the X-ray prime factors: KVp, mAs, and source-detector distance. These parameters are set by the X-ray technician prior to the acquisition considering the radiographic position. A wrong ...
Radiation Dosage X-Rays Humans Deep Learning Radiography
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Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study.

Journal of imaging informatics in medicine Oct 10, 2024
The parotid glands are the largest of the major salivary glands. They can harbour both benign and malignant tumours. Preoperative work-up relies on MR images and fine needle aspiration biopsy, but these diagnostic tools have low sensitivity and speci...
Sensitivity and Specificity Radiomics Male Aged Adult Radiologists Parotid Gland Parotid Neoplasms Middle Aged Pilot Projects Magnetic Resonance Imaging Humans Machine Learning Algorithms Female
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