𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A new method for automated detection and identification of neurons in microscopic images of brain slices

✍ Scribed by I. B. Gurevich, A. A. Myagkov, Yu. A. Sidorov, Yu. O. Trusova, V. V. Yashina

Book ID
119883948
Publisher
SP MAIK Nauka/Interperiodica
Year
2012
Tongue
English
Weight
975 KB
Volume
22
Category
Article
ISSN
1054-6618

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A reproducible method for automated extr
A reproducible method for automated extraction of brain volumes from 3D human head mr images
✍ Deming Wang; Graham J. Galloway; Greig I. de Zubicaray; Stephen E. Rose; Jonatha πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 805 KB

## Abstract An automated method for extracting brain volumes from three commonly acquired three‐dimensional (3D) MR images (proton density, T1 weighted, and T2‐weighted) of the human head is described. The procedure is divided into four levels: preprocessing, segmentation, scalp removal, and postpr

Reference-scan-free method for automated
Reference-scan-free method for automated correction of nyquist ghost artifacts in echoplanar brain images
✍ Yan Zhang; Felix W. Wehrli πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 278 KB

## Abstract One of the most common artifacts for echo‐planar imaging is the Nyquist ghost, typically overcome with the aid of a reference scan preceding the actual image acquisition. In this work, a nonlinear phase correction obviating the need for a reference scan is proposed. The method is based