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A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images

Computer Systems Science & Engineering 2023年第8期46卷 1789-1809页

作者： hicham moujahid Bouchaib Cherradi Oussama El Gannour Wamda Nagmeldin Abdelzahir Abdelmaboud Mohammed Al-Sarem Lhoussain Bahatti Faisal Saeed Mohammed Hadwan EEIS Laboratory ENSET of MohammediaHassan II University of CasablancaMohammedia28820Morocco STIE Team CRMEF Casablanca-SettatThe Provincial Section of El JadidaEl Jadida24000Morocco Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Information Systems King Khalid UniversityMuhayel Aseer61913Saudi Arabia College of Computer Science and Engineering Taibah UniversityMedina42353Saudi Arabia Department of Computer Science University of Sheba RegionMarib14400Yemen DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City UniversityBirminghamB47XGUK Department of Information Technology College of ComputerQassim UniversityBuraydah 51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaiz6803Yemen

Due to the rapid propagation characteristic of the Coronavirus(COVID-19)disease,manual diagnostic methods cannot handle the large number of infected individuals to prevent the spread of ***,new automated diagnostic methods have been brought on board,particularly methods based on artificial intelligence using different medical data such as X-ray *** imaging,for example,produces several image types that can be processed and analyzed by machine and deep learning methods.X-ray imaging materials widely exist in most hospitals and health institutes since they are affordable compared to other imaging *** this paper,we propose a novel Convolutional Neural Network(CNN)model(COV2Net)that can detect COVID-19 virus by analyzing the X-ray images of suspected *** model is trained on a dataset containing thousands of X-ray images collected from different *** model was tested and evaluated on an independent *** order to approve the performance of the proposed model,three CNN models namely Mobile-Net,Residential Energy Services Network(Res-Net),and Visual Geometry Group 16(VGG-16)have been implemented using transfer learning *** experiment consists of a multi-label classification task based on X-ray images for normal patients,patients infected by COVID-19 virus and other patients infected with *** proposed model is empowered with Gradient-weighted Class Activation Mapping(Grad-CAM)and Grad-Cam++techniques for a visual explanation and methodology debugging *** finding results show that the proposed model COV2Net outperforms the state-of-the-art methods.

关键词： Artificial intelligence intelligent diagnostic systems decisionmaking COVID-19 convolutional neural network

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Hepato Splenic Tuberculosis in Acute Cholecystitis

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International Journal of Clinical Medicine 2014年第14期5卷 871-874页

作者： Mountassir moujahid hicham Iraqui Mohamed Ghari Issam Serghini Khalid Chekoura Moulay Hassan Tahiri Departement of Radiology 5th Military Hospital Guelmim Morroco Departement of Reanimation 5th Military Hospital Guelmim Morroco Departement of Surgery 5th Military Hospital Guelmim Morroco

Background: The tuberculosis is an endemic disease in our country;it remains a major public health problem. Liver and splenic tuberculosis is a classic disease which represents 1.5% of all gastrointestinal tuberculosis. Patients and Methods: We reported the case of a fifty-six years old patient admitted in the department of surgery for acute cholecystitis, and the biological balance showed a hyperleukocytosis at 16,000 elements/mm3 and a CRP at 25 with a light cholestasis. The abdominal scanner showed a micronodular splenomegaly with coelio mesenteric ganglions. We discovered a tuberculosis location in the liver and the spleen and we realized a cholecystectomy with a hepatic biopsy and a splenectomy. Results: A gallbladder ablation associated with an enlarged spleen and liver biopsy was diagnosed with liver and splenic tuberculosis. The patient was put under anti tubercular treatment with the good clinical and radiological evolution. Conclusion: The diagnosis of tuberculosis should always be considered especially in endemic countries.

关键词： Tuberculosis Endemic Liver Spleen Diagnosis Treatment

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A Rare Localization of Tuberculosis: A Case Report and a Review of the Literature

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Surgical Science 2021年第3期12卷 95-101页

作者： Faisal El Mouhafid Abderrahman Elhjouji Mohammed Fahssi Mbarek Yaka Noueddine Njoumi Mohammed Tarchouli hicham Iraki Mountassir moujahid Abdelmounim Aitali Aziz Zentar Department of Visceral Surgery Mohammed V Military Teaching Hospital Ryad Rabat Morocco

The hepatic tuberculosis is rare. The interest of this Knowledge consists in the diagnostic problems particularly in its primitive and macronodular forms. It touches all ages with a peak of frequency during 17 - 50 years old, and a female prevalence. The clinical picture is polymorphous but it is still dominated by the prolonged fever and the alteration of the general state. Case report: 30-year-old female was admitted to our hospital with painless swelling on the right side of chest and feeling of pressure in the right upper quadrant of abdomen. She has no history of fever, weight loss, and night sweating or poor appetite. On clinical examination, the patient was in good general condition. The inflammatory tumefaction of the right chest wall was marked. The palpation of the abdomen revealed a sensitive hepatomegaly. A CT scan revealed a large cystic liver. The laboratory investigations were normal. This appearance was suggestive of a hydatid cyst of the right liver and a surgical management was decided. But the histological study revealed granulomatous inflammation consisting of tuberculoid type granuloma with caseous necrosis. However, abscess of the liver due to MT was highly suspected and anti-tuberculosis therapy was started, the patient responded well. Conclusion: The analysis of this observation and the data of the literature make it possible to retain the rarity;the polymorph expression and not very suggestive of this location.

关键词： Liver Abscess Mycobacterium Tuberculosis Antibacillary

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