Semi-automatic construction of 3D medical image-segmentation processes

William E. Higgins; Joseph M. Reinhardt; Werner L. Sharp

doi:10.1117/12.185216

Semi-automatic construction of 3D medical image-segmentation processes

William E. Higgins, Joseph M. Reinhardt, Werner L. Sharp

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

We describe a GUI-based system called INTERSEG that can define 3D radiological image-segmentation processes. Using INTERSEG's GUI interface, the user first defines interactively some problem cues, which specify a segmentation task. Then, INTERSEG uses the cues to automatically construct a process for the task. The process consists of automatic image-processing operations, such as image enhancement, image segmentation, shape analysis, and measurement. With other systems, the user must resort to trial-and-error experimentation to construct such processes.

Original language	English (US)
Pages (from-to)	59-71
Number of pages	13
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2359
DOIs	https://doi.org/10.1117/12.185216
State	Published - Sep 9 1994
Event	Visualization in Biomedical Computing 1994 - Rochester, United States Duration: Oct 4 1994 → Oct 7 1994

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.185216

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title = "Semi-automatic construction of 3D medical image-segmentation processes",

abstract = "We describe a GUI-based system called INTERSEG that can define 3D radiological image-segmentation processes. Using INTERSEG's GUI interface, the user first defines interactively some problem cues, which specify a segmentation task. Then, INTERSEG uses the cues to automatically construct a process for the task. The process consists of automatic image-processing operations, such as image enhancement, image segmentation, shape analysis, and measurement. With other systems, the user must resort to trial-and-error experimentation to construct such processes.",

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T1 - Semi-automatic construction of 3D medical image-segmentation processes

AU - Higgins, William E.

AU - Reinhardt, Joseph M.

AU - Sharp, Werner L.

PY - 1994/9/9

Y1 - 1994/9/9

N2 - We describe a GUI-based system called INTERSEG that can define 3D radiological image-segmentation processes. Using INTERSEG's GUI interface, the user first defines interactively some problem cues, which specify a segmentation task. Then, INTERSEG uses the cues to automatically construct a process for the task. The process consists of automatic image-processing operations, such as image enhancement, image segmentation, shape analysis, and measurement. With other systems, the user must resort to trial-and-error experimentation to construct such processes.

AB - We describe a GUI-based system called INTERSEG that can define 3D radiological image-segmentation processes. Using INTERSEG's GUI interface, the user first defines interactively some problem cues, which specify a segmentation task. Then, INTERSEG uses the cues to automatically construct a process for the task. The process consists of automatic image-processing operations, such as image enhancement, image segmentation, shape analysis, and measurement. With other systems, the user must resort to trial-and-error experimentation to construct such processes.

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DO - 10.1117/12.185216

M3 - Conference article

AN - SCOPUS:85076734573

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VL - 2359

SP - 59

EP - 71

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Visualization in Biomedical Computing 1994

Y2 - 4 October 1994 through 7 October 1994

ER -

Semi-automatic construction of 3D medical image-segmentation processes

Abstract

All Science Journal Classification (ASJC) codes

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