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Needle-localized biopsy is a procedure that uses very thin needles or guide wires to mark the location of an abnormal area of tissue so it can be surgically sampled. An imaging device such as an ultrasound probe is used to place the wire in or around the abnormal area. Needle localization is used when the doctor cannot feel the mass of abnormal ...
Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
The whole plant can reach 2–3 m (6.6–9.8 ft) tall to the top of the erect central leaves. It is a fan palm ( Arecaceae , subfamily Coryphoideae ), with the leaves with a long petiole terminating in a rounded fan of 8–16 leaflets; each leaf is up to 2 m (6.6 ft) long, with the leaflets up to 60–80 cm (24–31 in) long.
Fine-needle aspiration (FNA) is a diagnostic procedure used to investigate lumps or masses. In this technique, a thin (23–25 gauge (0.52 to 0.64 mm outer diameter)), hollow needle is inserted into the mass for sampling of cells that, after being stained , are examined under a microscope ( biopsy ).
The needles are then removed. {•figure•} shows the grid-like device used to guide the needles into the perineal area; co-ordinates or 'map references' on this grid or template are used to pinpoint the exact positions in the prostate where the seeds are to be placed. Figure 3 shows how the seeds are positioned to target the tumour. The ...
Photo-activated localization microscopy (PALM or FPALM) [1] [2] and stochastic optical reconstruction microscopy (STORM) [3] are widefield (as opposed to point scanning techniques such as laser scanning confocal microscopy) fluorescence microscopy imaging methods that allow obtaining images with a resolution beyond the diffraction limit.
Work has been done on applications such as recognition of particular object categories in 2D images, 3D reconstruction, motion tracking and segmentation, robot localization, image panorama stitching and epipolar calibration. Some of these are discussed in more detail below.
When features are defined in terms of local neighborhood operations applied to an image, a procedure commonly referred to as feature extraction, one can distinguish between feature detection approaches that produce local decisions whether there is a feature of a given type at a given image point or not, and those who produce non-binary data as ...