2016 Winter Project Week/Projects/BatchImageAnalysis - Revision history

Lauren at 15:54, 8 January 2016

2016-01-08T15:54:48Z

2016-01-08T06:43:29Z

Project Description

2016-01-08T06:40:21Z

Project Description

2016-01-08T06:39:38Z

Project Description

2016-01-08T06:33:33Z

Project Description

2016-01-04T19:08:16Z

2016-01-04T05:11:42Z

Key Investigators

2015-12-24T13:58:35Z

Project Description

2015-12-18T22:37:44Z

2015-12-17T22:14:00Z

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 * Yangming Ou (MGH)
 * Matt Toews (ETS)
 * Steve Pieper (BWH)
 * Sandy Wells (BWH)

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 * feature extraction (20 seconds per image)
-* feature matching O(log N) indexing (< 1 second per image)
+* Feature matching O(log N) indexing (< 1 second per image)
 * 3D SIFT-Rank code (Windows, Linux, Max)  and read me
 http://www.matthewtoews.com/fba/featExtract1.5.zip
-Leave-one-out classification rate for HIE: moderate vs normal: 73%
+Result
 Data

@@ Line 45: / Line 45: @@
 * feature matching O(log N) indexing (< 1 second per image)
-* code (Windows, Linux, Max)  and read me
+* 3D SIFT-Rank code (Windows, Linux, Max)  and read me
 http://www.matthewtoews.com/fba/featExtract1.5.zip

← Older revision		Revision as of 06:39, 8 January 2016
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	231 subjects, Apparent Diffusion Coefficient (ADC) images.		231 subjects, Apparent Diffusion Coefficient (ADC) images.

		+	\|}

		+	==Features Extracted in ADC MRI Volume ==

−	\|}	+	http://wiki.na-mic.org/Wiki/images/b/b2/Image_%282%29.png

← Older revision		Revision as of 06:33, 8 January 2016
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	\|		\|
	<!-- Fill this out at the end of Project Week; describe what you did this week and what you plan to do next -->		<!-- Fill this out at the end of Project Week; describe what you did this week and what you plan to do next -->
−	*	+
		+	Algorithm
		+
		+	* feature extraction (20 seconds per image)
		+
		+	* feature matching O(log N) indexing (< 1 second per image)
		+
		+	* code (Windows, Linux, Max) and read me
		+	http://www.matthewtoews.com/fba/featExtract1.5.zip
		+
		+	Leave-one-out classification rate for HIE: moderate vs normal: 73%
		+
		+	Data
		+	231 subjects, Apparent Diffusion Coefficient (ADC) images.
		+
		+
		+
	\|}		\|}

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 <!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" -->
 </gallery>
 ==Key Investigators==

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 ==Project Description==
 {| class="wikitable"
 |- style="vertical-align:top;"
-! style="text-align: left; width:27%" |       Objective
-<!-- Add a bulleted list of key points -->
+<!-- Objective bullet points -->
 * Run feature detection code over a collection of medical images pulled from PACS
 * Investigate a collection of ADC maps of neonates (diffusion MR)
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 * Use 3D SIFT code to see if health status can be detected in images
 * (if time) try text analysis of radiology reports
-−
+|
 <!-- Add a bulleted list of key points -->
 * Use deidentified cohort of neonate images collected from MGH
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 * Explore visualization options
 * (if time) integrate image features with analysis of radiology report text
-−
+|
 <!-- Fill this out at the end of Project Week; describe what you did this week and what you plan to do next -->
+*
 |}

← Older revision		Revision as of 22:37, 18 December 2015
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	\|}		\|}
−
−	~~==Background and References==~~
−	~~<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->~~

← Older revision	Revision as of 22:14, 17 December 2015
(No difference)