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您的检索式：作者名="Bassem Abid"
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| 1 | Histopathological findings in cholecystectomies specimens:A single institution study of 20 584 cases显示文摘Background: The histopathological examination of cholecystectomy specimens has not been standardized with a debate concerning the routine and the selective approach. The aim of this study was to assess the information obtained from routine histopathological examination of cholecystectomy specimens.Methods: All histopathological reports of cholecystectomy specimens between January 2003 and December 2016 were analyzed, including a clinical diagnosis of benign gallstone disease or cholecystitis.Results: A total of 20,584 reports were examined. The mean age of patients was 54.2 years. Patients aged more than 60 years represent 37.6% of the study population. Of all patients, 15,973(77.6%) were females.Incidental gallbladder cancers(GBC) were present in 155 cholecystectomies specimens(0.8%). 67.1% of GBC are at T2 and T3 stage. Granulomatous cholecystitis was diagnosed in only 19 cases(0.1%). GBC were more prevalent in older patients(P < 10^(-6)) and cholesterolosis was more prevalent in young patients(P < 10^(-6)). There was no gender predilection for GBC(P = 0.739).Conclusions: The rate of incidental gallbladder carcinoma in our study is low, yet, we found a higher proportion of T2 and T3 carcinomas stage. Granulomatous cholecystitis may need further investigations and treatments. When a selective approch of histopathological examination of cholecystectomy specimens is used, it is important to take into account that clinical parameters are significantly associated with gallbladder cancer. | Slim Charfi Naourez Gouiaa Hela Mnif Lassaad Chtourou Nabil Tahri Bassem Abid Rafik Mzali Tahya Sellami Boudawara | 2018 | Hepatobiliary & Pancreatic Diseases International2018，17，4： | 0 |
| 2 | An Efficient Machine Learning Based Precoding Algorithm for Millimeter-Wave Massive MIMO显示文摘Millimeter wave communication works in the 30–300 GHz frequency range,and can obtain a very high bandwidth,which greatly improves the transmission rate of the communication system and becomes one of the key technologies of fifth-generation(5G).The smaller wavelength of the millimeter wave makes it possible to assemble a large number of antennas in a small aperture.The resulting array gain can compensate for the path loss of the millimeter wave.Utilizing this feature,the millimeter wave massive multiple-input multiple-output(MIMO)system uses a large antenna array at the base station.It enables the transmission of multiple data streams,making the system have a higher data transmission rate.In the millimeter wave massive MIMO system,the precoding technology uses the state information of the channel to adjust the transmission strategy at the transmitting end,and the receiving end performs equalization,so that users can better obtain the antenna multiplexing gain and improve the system capacity.This paper proposes an efficient algorithm based on machine learning(ML)for effective system performance in mmwave massive MIMO systems.The main idea is to optimize the adaptive connection structure to maximize the received signal power of each user and correlate the RF chain and base station antenna.Simulation results show that,the proposed algorithm effectively improved the system performance in terms of spectral efficiency and complexity as compared with existing algorithms. | Waleed Shahjehan Abid Ullah Syed Waqar Shah Ayman A.Aly Bassem F.Felemban Wonjong Noh | 2022 | Computers, Materials & Continua2022，，6： | 0 |
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