Mohamed Maher Ata¹, Reem N. Yousef², Faten Khalid Karim^3,*, Doaa Sami Khafaga³

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1597-1616, 2023, DOI:10.32604/csse.2023.034375 - 09 February 2023

Abstract Brain neoplasms are recognized with a biopsy, which is not commonly done before decisive brain surgery. By using Convolutional Neural Networks (CNNs) and textural features, the process of diagnosing brain tumors by radiologists would be a noninvasive procedure. This paper proposes a features fusion model that can distinguish between no tumor and brain tumor types via a novel deep learning structure. The proposed model extracts Gray Level Co-occurrence Matrix (GLCM) textural features from MRI brain tumor images. Moreover, a deep neural network (DNN) model has been proposed to select the most salient features from the… More >

JIANBO LU^1,2,#,*, XIAOHAN SUN^3,#, XU MA^1,2,*

BIOCELL, Vol.46, No.1, pp. 185-193, 2022, DOI:10.32604/biocell.2021.015301 - 29 September 2021

Abstract The concentration of cell-free fetal DNA fragments should be detected before noninvasive prenatal testing (NIPT). The fetal DNA molecules have significant clinical potential in determining the overall performance of NIPT and clinical interpretation. It is important to measure fetal DNA fraction before NIPT. However, there is still little research on how to calculate the concentration of female fetuses. Two estimation approaches were proposed to calculate fetal DNA fraction, including the fragments size-based approach, aneuploid-based approach, which are all approaches based on chromosome segments. Based on high-throughput sequencing data, two approaches to calculate the DNA fraction More >

William N. Evans^1,2, Ruben J. Acherman^1,2, Michael L. Ciccolo^1,3, Sergio A. Carrillo^1,2, Alvaro Galindo^1,2, Abraham Rothman^1,2, Gary A. Mayman^1,2, Elizabeth A. Adams^1,2, Leigh C. Reardon^1,4, Brody J. Winn⁵, Noel S. Yumiaco⁵, Lesley Shimuizu¹, Yoko Inanaga¹, Rowena J. Deleon¹, Humberto Restrepo^1,2

Congenital Heart Disease, Vol.13, No.1, pp. 38-45, 2018, DOI:10.1111/chd.12558

Abstract Objective: We hypothesized that clinic-based, hepatic-ultrasound, elastography measurements, either alone or in combination with other noninvasive variables, might correlate with liver-biopsy fibrosis scores in patients post-Fontan.
Methods: Between March 2012 and February 2017, we identified patients post-Fontan that underwent elective cardiac catheterization and simultaneous transvenous hepatic biopsy. From this group, we selected patients that met inclusion criteria for liver-ultrasound, shear-wave elastography. Utilizing the results of elastography, laboratory testing, and time post-Fontan, we constructed a composite Fontan hepatic index as a sum of elastography measurements in kilopascals, model for end-stage liver disease excluding INR scores, and the square… More >

Marco Astengo^1,2*, Caroline Berntsson^3*, Åse A. Johnsson^3,4, Peter Eriksson^1,2, Mikael Dellborg^1,2

Congenital Heart Disease, Vol.12, No.2, pp. 174-180, 2017, DOI:10.1111/chd.12424

Abstract Objective: Coarctation of the aorta (CoA) is a common condition. Adult patients with newly diagnosed CoA and patients with recurring or residual CoA require evaluation of the severity of aortic obstruction. Cardiac catheterization is considered the gold standard for the evaluation of hemodynamically significant CoA. The European Society of Cardiology (ESC) Guidelines for the management of grown-up congenital heart disease (GUCH) include noninvasive criteria for identifying significant CoA. Our aim was to investigate the ability of the Class I and Class IIa ESC recommendations to identify significant CoA at cardiac catheterization.
Design: Sixty-six adult patients with native… More >