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Toplam kayıt 56, listelenen: 1-10
Will the real "hepatobiliary cystadenocarcinoma" please stand up? True malignancy is exceedingly rare in cystic liver lesions; implications for pathologic evaluation and pre-operative decision making
(Springer Nature, 2021)
Background: Concern for hepatic cysts being “hepatobiliary cystadenocarcinoma” along with the allegedly high frequency of its occurrence in the literature (up to 30% of the hepatic cysts) remains a major driver for the ...
Glass: Global lorlatinib for ALK(+) and ROS1(+) retrospective study: Real world data of 123 NSCLC patients
(Elsevier Science Inc, 2021)
Introduction: Lorlatinib is a third-generation tyrosine-kinases inhibitor (TKI) targeting ALK/ROS1 fusions. The FDA has approved lorlatinib for TKI-pretreated ALK(+) NSCLC, while its approval for ROS1(+) is still pending. ...
Utilizing transfer learning and a customized loss function for optic disc segmentation from retinal images
(Springer Science and Business Media Deutschland GmbH, 2021)
Accurate segmentation of the optic disc from a retinal image is vital to extracting retinal features that may be highly correlated with retinal conditions such as glaucoma. In this paper, we propose a deep-learning based ...
Analysis of deep learning based path loss prediction from satellite images
(Institute of Electrical and Electronics Engineers Inc., 2021)
Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands ...
Geniş alan görüntülerinde anomali tespiti
(Institute of Electrical and Electronics Engineers Inc., 2021)
Bu çalışma hava araçlarından çekilmiş geniş alan görüntülerindeki anomalileri tespit etmek ile ilgilidir. Anomali kümesi normal seyrin dışındaki her şey olarak belirlenmiştir. Bu amaçla iki farklı veri seti kullanılmış ve ...
Low-complexity deep learning-based beamforming in MISO systems
(Institute of Electrical and Electronics Engineers Inc., 2021)
This study proposes a low-complexity deep learning-based beamforming neural network (BFNN) for massive multiple-input single-output (MISO) systems. We adopt an unsupervised learning-based convolutional neural network (CNN) ...
Improved YOLOv4 for aerial object detection
(Institute of Electrical and Electronics Engineers Inc., 2021)
Drones equipped with cameras are being used for surveillance purposes. These surveillance systems need vision-based object detection of ground objects which look very small because of the altitude of drones. We propose an ...
A multicentre based critical analysis of laser settings during intrarenal laser lithotripsy
(Elsevier, 2021)
Introduction & Objectives: Although there are numerous publications regarding the RIRS procedure in the literature, limited data could be derived on the clinical research focusing on the laser-related sub-parameters such ...
Which ultrasound or MRI characteristics demonstrate the highest diagnostic accuracy in identifying malignancy in males with indeterminate lesions of the testis? A systematic review
(Elsevier, 2021)
Introduction & Objectives: The use of Scrotal Ultrasound (SUS) has resulted in increased detection of indeterminate testicular lesions, resulting in a clinical and management challenge. The gold standard of treatment has ...