Automatic Zoom and Pseudo Haptics to Support Semiautomatic Segmentation Tasks
نویسندگان
چکیده
This paper presents a new technique for navigating large amounts of biological image data during segmentation. Digitized microtome tissue slices of barley grains constitute the image data. Automatic zoom is dependent on mouse speed, thus enabling users to navigate an image more efficiently and with a tighter focus during segmentation. The user remains oriented and smoothly moves through the data. Furthermore, pseudo haptic feedback based on image cost map data compensates for user inaccuracies generated, for example, by shaky hands. A prototype was implemented and tested. An informal usability study revealed that users are inclined to prefer automatic zooming and pseudo haptics for semiautomatic segmentation tasks.
منابع مشابه
Mammogram Image Segmentation Using Bioinspired Novel Bat Swarm Clustering
Segmentation is one of the main tasks related to breast cancer classification. Automatic and semiautomatic algorithms have been proposed lately, and in this paper, a new method to segment mammography images is proposed using novel bat algorithm (NBA) and unsupervised metric measures as objective function. Results showed a useful method to segment mammographies using bioinspired algorithms based...
متن کاملAssessing the Accuracy of Foveal Avascular Zone Measurements Using Optical Coherence Tomography Angiography: Segmentation and Scaling
PURPOSE The foveal avascular zone (FAZ) is altered in numerous diseases. We assessed factors (axial length, segmentation method, age, sex) impacting FAZ measurements from optical coherence tomography (OCT) angiography images. METHODS We recruited 116 Caucasian subjects without ocular disease, and acquired two 3 × 3 mm AngioVue scans per each right eye (232 total scans). In images of the super...
متن کاملHepaTux – A Semiautomatic Liver Segmentation System
While the MICCAI challenge strives for fully automatic liver segmentation, we present a fast semiautomatic method that is capable of segmenting livers with the help of an experienced human supervisor within 3 to 15 minutes. As fully automatic methods need to be checked for errors by a human observer anyway, we believe that for many practical applications the presented method will be useful.
متن کاملComparison of liver volumetry on contrast‐enhanced CT images: one semiautomatic and two automatic approaches
This study was to evaluate the accuracy, consistency, and efficiency of three liver volumetry methods- one interactive method, an in-house-developed 3D medical Image Analysis (3DMIA) system, one automatic active shape model (ASM)-based segmentation, and one automatic probabilistic atlas (PA)-guided segmentation method on clinical contrast-enhanced CT images. Forty-two datasets, including 27 nor...
متن کاملSemiautomatic Epicardial Fat Segmentation Based on Fuzzy c-Means Clustering and Geometric Ellipse Fitting
Automatic segmentation of particular heart parts plays an important role in recognition tasks, which is utilized for diagnosis and treatment. One particularly important application is segmentation of epicardial fat (surrounds the heart), which is shown by various studies to indicate risk level for developing various cardiovascular diseases as well as to predict progression of certain diseases. ...
متن کامل