47 research outputs found

    cerco, seto o muralla, aunque se considera, que su nombre original fue zama, quequiere decir amanecer

    No full text
    La información de esta miniguía se basa, a la fecha de publicación de la misma, en los trabajos de los arqueólogos Antonio Benavides, Ricardo Velázquez, Samuel K. Lothrop, Ernesto Vargas, Patricia Santillán, Marta Vilalta y Blanca ParedesCon base en varias investigaciones se sabe que la ocupación de Tulum ocurrió en el periodo Postclásico Tardío (1200 - 1521 d.C.). De cualquier forma, como en el caso de otras ciudades prehispánicas, su origen puede remitirnos a época anteriores, ya que el dato más antiguo obtenido del sitio se relaciona con el hallazgo de una pequeña estela (bloque pétreo en el que se registraban fechas y sucesos importantes) que lleva esculpida la lecha correspondiente al año 564 d.C. (periodo Clásico). También se puede hacer referencia a la llamada estructura 59 la cual muestra rasgos arquitectónicos característicos del periodo Clásico. Sin embargo, los estudios realizados hasta la fecha demuestran una ocupación más bien tardía. Se observa que la región, en general, estuvo densamente poblada para el Postclásico Tardío.</p

    Butterworth Tabanlı Böbrek Hacim Hesabı

    No full text
    Tulum, Gökalp (Arel Author), Osman, Onur (Arel Author)The width, thickness and the length of the organs are frequently used for volume calculations in radiology. Thus, radiologists can determine the approximate volumes of the regions rapidly. In this work Butterworth based volume calculation method is proposed for the injured kidneys. The outputs of the proposed method are compared with two different traditional methods. The results are given as root mean square values and also with Bland Altman graphics. According to the results, the proposed method performs better than other two methodsRadyolojide organların genişlik, kalınlık ve uzunlukları hacim hesaplamaları için sıklıkla kullanılan özelliklerdir. Bu sayede radyologlar istenen bölgelerin hacimlerini yaklaşık olarak hızlıca belirleyebilmektedir. Bu çalışmada hasarlı böbrekler için Butterworth tabanlı hacim hesaplama yöntemi önerilmiştir. Elde edilen sonuçlar geleneksel metotların ikisi ile karşılaştırılmıştır. Karşılaştırma sonuçları Bland Altman grafikleri ve ortalama karesel hata değerleri ile verilmiştir. Elde edilen sonuçlar incelendiğinde önerilen yöntemin diğer iki yönteme göre daha başarılı sonuçlar verdiği görülmektedir

    Fully Automated Segmentation of Renal, Cortex and Medulla

    No full text
    #nofulltext# --- Tulum, Gökalp (Arel Author), Artuğ, N. Tuğrul (Arel Author), Osman, Onur(Arel Author)It is assume that volumes of cortex and medulla are related with recovery of the kidney after transplantation. In this work, a fully automated segmentation and volume calculation method is proposed for determining renal volumes. 10 kidneys of 5 donors are used as a dataset. When the output volumes of the proposed system were compared to the golden standarts, Volume error rates are obtained as %03,97 +/- 0,02for total renal volume, %8,71 +/- 0,06 for cortex volume and %20,13 +/- 0,2 for medulla volume

    Automated segmentation of the injured kidney due to abdominal trauma

    No full text
    Tulum, Gökalp (Arel Author) Osman, Onur (Arel Author)The objective of this study is to propose and validate a computer-aided segmentation system which performs the automated segmentation of injured kidney in the presence of contusion, peri-, intra-, sub-capsular hematoma, laceration, active extravasation and urine leak due to abdominal trauma. In the present study, total multi-phase CT scans of thirty-seven cases were used; seventeen of them for the development of the method and twenty of them for the validation of the method. The proposed algorithm contains three steps: determination of the kidney mask using Circular Hough Transform, segmentation of the renal parenchyma of the kidney applying the symmetry property to the histogram, and estimation of the kidney volume. The results of the proposed method were compared using various metrics. The kidney quantification led to 92.3 +/- 4.2% Dice coefficient, 92.8 +/- 7.4%/92.3 +/- 5.1% precision/sensitivity, 1.4 +/- 0.6 mm/2.0 +/- 1.0 mm average surface distance/root-mean-squared error for intact and 87.3 +/- 8.4% Dice coefficient, 84.3 +/- 13.8%/92.2 +/- 3.8% precision/sensitivity and 2.4 +/- 2.2 mm/4.0 +/- 4.2 mm average surface distance/root-mean-squared error for injured kidneys. The segmentation of the injured kidney was satisfactorily performed in all cases. This method may lead to the automated detection of renal lesions due to abdominal trauma and estimate the intraperitoneal blood amount, which is vital for trauma patients
    corecore