https://www.na-mic.org/w/api.php?action=feedcontributions&feedformat=atom&user=Jacobhuang 2026-04-12T02:38:03Z User contributions MediaWiki 1.33.0 https://www.na-mic.org/w/index.php?title=File:GliomaSubtypeClassification-examplespectrum.png&diff=66285 2011-04-04T19:14:42Z

<p>Jacobhuang: </p> <hr /> <div></div>

Jacobhuang https://www.na-mic.org/w/index.php?title=File:GliomaSubtypeClassification-spectra.png&diff=66275 2011-04-04T16:09:52Z

<p>Jacobhuang: </p> <hr /> <div></div>

Jacobhuang https://www.na-mic.org/w/index.php?title=File:GliomaSubtypeClassification-samplesection.png&diff=66274 2011-04-04T16:09:28Z

<p>Jacobhuang: </p> <hr /> <div></div>

Jacobhuang https://www.na-mic.org/w/index.php?title=Projects:GliomaSubtypeClassification&diff=66273 2011-04-04T16:06:39Z

<p>Jacobhuang: Changed some titles to subtitles.</p> <hr /> <div>Back to [[Algorithm:GATech|Georgia Tech Algorithms]]<br /> __NOTOC__<br /> = Glioma Subtype Classification from Mass Spectrometry Data =<br /> <br /> <br /> == Description ==<br /> Glioma histologies are the primary factor in the prognostic estimates and are used in determining the proper course of treatment. Furthermore, due to the sensitivity of cranial environment, real-time tumor cell classification and boundary detection can aid in the precision and completeness of tumor resection. By a recent improvement in mass spectrometry that allows for data collection in ambient environments without preparation, the goal is to provide surgeons with histopathological information for a resected sample.<br /> <br /> == Result ==<br /> <br /> == Key Investigators ==<br /> Georgia Tech: Jacob Huang, Behnood Gholami, and Allen Tannenbaum</div>

Jacobhuang https://www.na-mic.org/w/index.php?title=Projects:GliomaSubtypeClassification&diff=66272 2011-04-04T15:44:31Z

<p>Jacobhuang: Included Project</p> <hr /> <div>Back to [[Algorithm:GATech|Georgia Tech Algorithms]]<br /> __NOTOC__<br /> = Glioma Subtype Classification from Mass Spectrometry Data =<br /> <br /> <br /> = Description =<br /> Glioma histologies are the primary factor in the prognostic estimates and are used in determining the proper course of treatment. Furthermore, due to the sensitivity of cranial environment, real-time tumor cell classification and boundary detection can aid in the precision and completeness of tumor resection. By a recent improvement in mass spectrometry that allows for data collection in ambient environments without preparation, the goal is to provide surgeons with histopathological information for a resected sample.<br /> <br /> = Result =<br /> <br /> = Key Investigators =<br /> Georgia Tech: Jacob Huang, Behnood Gholami, and Allen Tannenbaum</div>

Jacobhuang