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Enhanced 3D Point Cloud Reconstruction for Light field microscopy Using U-Net-Based Convolutional Neural Networks

Computer Systems Science & Engineering 2023年第12期47卷 2921-2937页

作者： Shariar md Imtiaz Ki-Chul Kwon f.m.fahmid hossain mdBiddut hossain Rupali Kiran Shinde Sang-Keun Gil Nam Kim Department of Information and Communication Engineering Chungbuk National UniversityCheongju-siChungcheongbuk-do28644Korea Department of Electronic Engineering University of SuwonHwaseong-siGyeonggi-do18323Korea

This article describes a novel approach for enhancing the three-dimensional(3D)point cloud reconstruction for light field microscopy(Lfm)using U-net architecture-based fully convolutional neural network(CNN).Since the directional view of the Lfm is limited,noise and artifacts make it difficult to reconstruct the exact shape of 3D point *** existing methods suffer from these problems due to the self-occlusion of the *** manuscript proposes a deep fusion learning(DL)method that combines a 3D CNN with a U-Net-based model as a feature *** sub-aperture images obtained from the light field microscopy are aligned to form a light field data cube for preprocessing.A multi-stream 3D CNNs and U-net architecture are applied to obtain the depth feature fromthe directional sub-aperture Lf data *** the enhancement of the depthmap,dual iteration-based weighted median filtering(Wmf)is used to reduce surface noise and enhance the accuracy of the *** a 3D point cloud involves combining two key elements:the enhanced depth map and the central view of the light field *** proposed method is validated using synthesized Heidelberg Collaboratory for Image Processing(HCI)and real-world Lfm *** results are compared with different state-of-the-art *** structural similarity index(SSIm)gain for boxes,cotton,pillow,and pens are 0.9760,0.9806,0.9940,and 0.9907,***,the discrete entropy(DE)value for Lfm depth maps exhibited better performance than other existing methods.

关键词： 3Dreconstruction 3Dmodeling point cloud depth estimation integral imaging light filedmicroscopy 3D-CNN U-Net deep learning machine intelligence

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Pattern of Presentation of Iatrogenic Biliary Injury following Laparoscopic Cholecystectomy

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Open Journal of Clinical Diagnostics 2022年第4期12卷 55-62页

作者： fahmid-Uz-Zaman mohammad Aminul Islam md. Saba Al Galib md. mashkurul Alam md. Shamsuddoha Khan muhammad Tanvir Alam Akhanda Sania hossain Laila Siddika mohammad Emrul Hasan Khan Abul Bashar md. Jamal Department of Surgery Dhaka Medical College Hospital Dhaka Bangladesh Department of Surgery Shaheed M. Monsur Ali Medical College Hospital Shirajgonj Bangladesh Department of Pediatric Surgery Dhaka Medical College Hospital Dhaka Bangladesh Department of Surgery Shaheed Suhrawardy Medical College Hospital Dhaka Bangladesh National Institute of Cancer Research and Hospital Dhaka Bangladesh Department of Laboratory medicine Sheikh Russel National Gastroliver Institute and Hospital Dhaka Bangladesh mugda medical College and Hospital Dhaka Bangladesh

Background: Cholecystectomy is one of the most now common abdominal surgeries performed every day. The incidence of bile duct injury (BDI) following open cholecystectomy is only 0.1% - 0.2%. After the introduction of laparoscopic cholecystectomy, the incidence has gone up to 0.4% - 0.7%. The present study is a prospective analysis of all patients with bile duct injury who were admitted to Dhaka medical College Hospital during or at a variable period following cholecystectomy. methods: To determine the pattern of presentation of iatrogenic biliary injury following cholecystectomy in the department of surgery of Dhaka medical College Hospital, a total of 30 patients were purposively selected from may 2018 to November 2018. Patient particulars, records of physical and clinical evaluation, and operative details were collected by individual researchers. Data analysis was done by SPSS for windows version 21. Results: BDI was found very common among the age group 21 - 30 yrs (36%) and female dominant (60%). majority of the patients presented with abdominal pain (96%), intra-abdominal collection (88%), biliary peritonitis (68%), cholangitis (60%), and obstructive jaundice (40%), and biliary fistula (40%). Laparoscopic cholecystectomy (84%) was the principal cause of biliary injury in our study. 48% of patients experienced clinical features within 7 days post-cholecystectomy. Per-operative diagnosis was done in only 12% of cases. 44% of patients in this study were recognized as Bismuth grade-3, followed by 36%, grade-2 patients. management outcomes included wound infection (41.66%), minor bile leak (25%), peritonitis (8.33%), and renal impairment (8.33%). Conclusion: The effect of BDI is an extremely distressful clinical condition for the patients and their family members, hence proper care and management protocol should be followed.

关键词： Bile Duct Injury Laparoscopic Cholecystectomy Post-Operative Complications Bangladesh

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