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Classification of Human Protein in Multiple Cells Microscopy Images Using CNN

Computers, Materials & Continua 2023年第8期76卷 1763-1780页

作者： lina al-joudi Muhammad Arif Department of Computer Science AI(CS-AI) Umm Al Qura University(UQU)Makkah24231Saudi Arabia

The subcellular localization of human proteins is vital for understanding the structure of human *** play a significant role within human cells,as many different groups of proteins are located in a specific location to perform a particular *** these functions will help in discoveringmany diseases and developing their *** importance of imaging analysis techniques,specifically in proteomics research,is becoming more *** recent advances in deep learning techniques for analyzing microscopy images,classification models have faced critical challenges in achieving high *** protein subcellular images have a significant class *** use oversampling and under sampling techniques in this research to overcome this *** have used a Convolutional Neural Network(CNN)model called GapNet-PL for the multi-label classification task on the Human Protein Atlas Classification(HPA)*** have found that the ParametricRectified LinearUnit(PreLU)activation function is better than the Scaled Exponential LinearUnit(SeLU)activation function in the GapNet-PL model in most classification *** results showed that the GapNet-PL model with the PReLU activation function achieved an area under the ROC curve(AUC)equal to 0.896,an F1 score of 0.541,and a recall of 0.473.

关键词： CNN protein PReLU SeLU microscopy images subcellular localization multi-cells

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Loose Body in the Knee Joint: A Case Report

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Open Journal of Orthopedics 2024年第10期14卷 436-440页

作者： Hussein Khudhur joudi Habbal Waleed Mohammed Radiology Department SEHA Sheikh Khalifa Medical City Abu Dhabi United Arab Emirates Internal Medicine Department SEHA Sheikh Khalifa Medical City Abu Dhabi United Arab Emirates Orthopedic Surgery Department HMS Mirdif Private Hospital Dubai United Arab Emirates

Background: Loose bodies (LBs) within the knee joint are commonly encountered during clinical practice and are frequently observed during knee arthroscopy. The primary treatment involves the removal of loose bodies;however, their complete eradication is often challenging and may not address underlying diseases, leading to persistent symptoms and the risk of new loose body formation. Aim: This case report aims to present the findings and surgical management of a 52-year-old male with an unusually large osseous loose body in the knee joint and associated pathologies. Case Presentation: The patient, a 52-year-old male, experienced recurrent episodes of severe, sudden, and painful locking of the knee joint, leading to difficulties moving. A plain MRI study was conducted to evaluate the condition of the knee joint, which revealed various degenerative changes and the presence of a loose body. Subsequently, an arthroscopic examination was performed under general anesthesia, uncovering the presence of an abnormally large loose body, as well as other pathologies including chondropathy, meniscal degeneration, and Baker’s cyst. Conclusion: Loose bodies (LBs) in the knee joint pose significant challenges and may lead to debilitating symptoms. Timely diagnosis and appropriate surgical intervention are crucial for symptom relief and the prevention of further joint damage as arthroscopic excision. Comprehensive imaging has a vital role in guiding treatment decisions and optimizing patient outcomes. In this case, the removal of the loose body improved patient outcomes and helped prevent potential joint complications.

关键词： Loose Bodies Knee Joint Arthroscopy MRI Osseous Loose Body Surgical Management Meniscal Degeneration Baker’s Cyst Bursitis Osteoarthritic Changes Comprehensive Treatment

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绝佳的3D游戏平台

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计算机应用文摘 2000年第9期16卷 13-15页

作者： joudi

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