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13 articles for “imaging outcomes”
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Research ArticleOpen accessIn the keywordsRecent Clinical Advancement of the Effects of Parathyroid Analogues on Fracture Healing in Humans: A Review of LiteratureWen Wei Gerard Ee, Wen Liang Joel Lau, Harish Sivasubramanian, Diarmuid MurphyProblem statement: Numerous animal studies have shown that administration of Parathyroid Hormone (PTH) or a related analogue promotes callus formation and bone union. However, there has yet to be sufficient evidence in human subjects to justify the use of PTH or related analogues in promoting fracture healing. The purpose of this paper is to (1) review all literature involving the … …Current Research in Medicine, Vol. 3, Issue 2 · 27 Aug 2012 · 7,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Pre-Processing Techniques to Improve DBT Classification Accuracy With CNN ResNet-50Qodri Aziz, Slamet Riyadi et al.Digital Breast Tomosynthesis (DBT) is a three-dimensional imaging technology that is meant to determine breast cancer more accurately than regular mammograms. But low contrast and noise can make DBT images less clear, which can make deep learning-based classification less accurate. This study seeks to assess the impact of diverse preprocessing techniques on breast cancer classification outcomes utilizing the ResNet-50 Convolutional … …Journal of Computer Science, Vol. 22, Issue 10 · 21 Oct 2026 · 349 accessesView PDFCite
Research ArticleOpen accessIn the abstractRIA-ViT: A Residual Inception Atrous Vision Transformer for Detection of Gallbladder Cancer from CT ImagesAbhishek Sehrawat, Anita Gupta, Vishnupriya, Varun P. GopiGallbladder Cancer (GBC) is a rare but highly aggressive malignancy of the biliary system. In early-stage gallbladder cancer, there are neither overt symptoms nor specific signs. In most patients, it is diagnosed late, resulting in poor outcomes. Even when imaging is available, diagnosing GBC remains difficult because its features overlap with those of non-neoplastic gallbladder pathologies. Furthermore, the overlap between … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the abstractUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite
Case ReportOpen accessIn the abstractAlcohol-Induced Rhabdomyolysis Complicated by Hyponatremia and Acute Kidney Injury Following Minor Trauma: A Case ReportVinay Tulsian, Drupad Das, M Sukumar, Prasan Kumar PandaRhabdomyolysis from alcohol is established, but combined binge intake, minor trauma, and vomiting-induced hyponatremia is a complex clinical scenario. Case study: This case report describes a young male with a three-year history of alcohol consumption who presented with rhabdomyolysis following binge drinking and a mild traumatic fall. He experienced 10 to 15 episodes of vomiting post-alcohol intake, subsequently developing anasarca. … …American Journal of Pharmacology and Toxicology, Vol. 20, Issue 1 · 23 May 2026 · 1,700 accessesView PDFCite
Literature ReviewOpen accessIn the abstractIntracranial Atherosclerotic Disease: Treatment Potential and Diagnostic OpportunitiesAnastasia Vladimirovna Poznyak, Victoria Alexandrovna Khotina, Anton Yuvenalievich Postnov et al.Atherosclerosis, characterized by the accumulation of atherosclerotic plaques within large arteries, substantially increases the risk of cardiovascular events, including ischemic stroke. Intracranial atherosclerotic disease (ICAD) represents a particularly significant clinical threat given its strong association with ischemic stroke across multiple intracranial arterial territories. This review provides a comprehensive analysis of the pathogenesis, diagnosis, and management of intracranial atherosclerosis. Special attention … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 5 May 2026 · 1,093 accessesView PDFCite
Case SeriesOpen accessIn the abstractSurge of Mucormycosis in the Jaws Among COVID-19 Patients: A Case Series Highlighting the Role of Diabetes and ImmunosuppressionRam Mohan, Dharnappa Poojary, Sreehari Sreedhar et al.Mucormycosis is a life-threatening fungal infection caused by Mucorales species, frequently occurring in immunocompromised patients. This case series investigates the alarming rise in maxillary mucormycosis among post-COVID-19 patients in India and explores its correlation with uncontrolled diabetes and immunosuppressive conditions. This case series analyzed 52 patients, primarily with maxillary infections, to identify the association between COVID-19 and mucormycosis. Diagnostic methods … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 13 Apr 2026 · 1,346 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,161 accessesView PDFCite
Research ArticleOpen accessIn the abstractAuto Weight Dilated Convolutional Ensemble Network for the Severity Analysis of Lung Cancer in CT ImagesL. Sandhya, K. MarimuthuLung cancer is one of the world's leading causes of morbidity and mortality; improving patient outcomes requires an early and precise diagnosis. Lesion and tumor segmentation remains a challenging task in CT images due to their inherent imaging limitations, such as the small size of nodules, heterogeneous textures, blurry boundaries, and adjacent structures, leading to misclassification and difficulty in delineating … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Expert System Based on Interpolation, Forward Chaining, and Certainty Factor for Diagnosing Abdominal ColicHari Soetanto, Painem, Muhammad Kamil SuryadewiansyahAbdominal colic is a common condition that affects infants and it can be difficult to diagnose because it shares many symptoms with other conditions, such as gastric disease and appendicitis. Limitations of existing diagnostic methods include the unreliability of physical examinations and medical histories and the high cost and time-consuming nature of imaging tests. This research proposes an expert system … …Journal of Computer Science, Vol. 20, Issue 2 · 30 Dec 2023 · 5,770 accessesView PDFCite