| 2 | Optimization of Deep Learning Model for Plant Disease Detection Using Particle Swarm Optimizer显示文摘Plant diseases are a major impendence to food security,and due to a lack of key infrastructure in many regions of the world,quick identification is still challenging.Harvest losses owing to illnesses are a severe problem for both large farming structures and rural communities,motivating our mission.Because of the large range of diseases,identifying and classifying diseases with human eyes is not only time-consuming and labor intensive,but also prone to being mistaken with a high error rate.Deep learning-enabled breakthroughs in computer vision have cleared the road for smartphone-assisted plant disease and diagnosis.The proposed work describes a deep learning approach for detection plant disease.Therefore,we proposed a deep learning model strategy for detecting plant disease and classification of plant leaf diseases.In our research,we focused on detecting plant diseases in five crops divided into 25 different types of classes(wheat,cotton,grape,corn,and cucumbers).In this task,we used a public image database of healthy and diseased plant leaves acquired under realistic conditions.For our work,a deep convolutional neural model AlexNet and Particle Swarm optimization was trained for this task we found that the metrics(accuracy,specificity,Sensitivity,precision,and Fscore)of the tested deep learning networks achieves an accuracy of 98.83%,specificity of 98.56%,Sensitivity of 98.78%,precision of 98.67%,and F-score of 98.47%,demonstrating the feasibility of this approach. | Ahmed Elaraby Walid Hamdy Madallah Alruwaili | 2022 | Computers, Materials & Continua2022，，5： | 1 |
| 3 | Hepatobiliary manifestations following two-stages elective laparoscopic restorative proctocolectomy for patients with ulcerative colitis:A prospective observational study显示文摘BACKGROUND Hepatobiliary manifestations occur in ulcerative colitis(UC)patients.The effect of laparoscopic restorative proctocolectomy(LRP)with ileal pouch anal anastomosis(IPAA)on hepatobiliary manifestations is debated.AIM To evaluate hepatobiliary changes after two-stages elective laparoscopic restorative proctocolectomy for patients with UC.METHODS Between June 2013 and June 2018,167 patients with hepatobiliary symptoms underwent two-stage elective LRP for UC in a prospective observational study.Patients with UC and having at least one hepatobiliary manifestation who underwent LRP with IPAA were included in the study.The patients were followed up for four years to assess the outcomes of hepatobiliary manifestations.RESULTS The patients'mean age was 36±8 years,and males predominated(67.1%).The most common hepatobiliary diagnostic method was liver biopsy(85.6%),followed by Magnetic resonance cholangiopancreatography(63.5%),Antineutrophil cytoplasmic antibodies(62.5%),abdominal ultrasonography(35.9%),and Endoscopic retrograde cholangiopancreatography(6%).The most common hepatobiliary symptom was Primary sclerosing cholangitis(PSC)(62.3%),followed by fatty liver(16.8%)and gallbladder stone(10.2%).66.4%of patients showed a stable course after surgery.Progressive or regressive courses occurred in 16.8%of each.Mortality was 6%,and recurrence or progression of symptoms required surgery for 15%.Most PSC patients(87.5%)had a stable course,and only 12.5%became worse.Two-thirds(64.3%)of fatty liver patients showed a regressive course,while one-third(35.7%)showed a stable course.Survival rates were 98.8%,97%,95.8%,and 94%at 12 mo,24 mo,36 mo,and at the end of the follow-up.CONCLUSION In patients with UC who had LRP,there is a positive impact on hepatobiliary disease.It caused an improvement in PSC and fatty liver disease.The most prevalent unchanged course was PSC,while the most common improvement was fatty liver disease. | Tamer A A M Habeeb Abdulzahra Hussain Mauro Podda Pasquale Cianci Bruce Ramshaw Khaled Safwat Wesam M Amr Tamer Wasefy Alaa A Fiad Mohamed Ibrahim Mansour Adel Mahmoud Moursi GamalOsman Anass Qasem Mohamed Fawzy Mohamed Ibrahim Abo Alsaad Abd-Elfattah Kalmoush MohammedShaaban Nassar Fawzy M Mustafa Mahmoud Hassib Morsi Badawy Ahmed Hamdy Hamdi Elbelkasi Bassam Mousa Abd-Elrahman M Metwalli Walid A Mawla Mostafa M Elaidy Muhammad Ali Baghdadi Ahmed Raafat | 2023 | World Journal of Gastrointestinal Surgery2023，15，2： | 0 |
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