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Title | Thomas Fuchs Lab :: |
Description | Welcome to the Thomas Fuchs Toggle navigation Home Data Research Computational Pathology Mitochondria Classification Urine Cell Classification Machine Learning Medical Statistics Com |
Keywords | N/A |
WebSite | thomasfuchslab.org |
Host IP | 104.45.154.200 |
Location | United States |
Site | Rank |
US$2,360,480
Last updated: 2023-05-12 16:54:34
thomasfuchslab.org has Semrush global rank of 4,483,963. thomasfuchslab.org has an estimated worth of US$ 2,360,480, based on its estimated Ads revenue. thomasfuchslab.org receives approximately 272,364 unique visitors each day. Its web server is located in United States, with IP address 104.45.154.200. According to SiteAdvisor, thomasfuchslab.org is safe to visit. |
Purchase/Sale Value | US$2,360,480 |
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Daily Unique Visitors | 18,158 |
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Host | Type | TTL | Data |
thomasfuchslab.org. | A | 3599 | IP: 104.45.154.200 |
thomasfuchslab.org. | NS | 3600 | NS Record: ns65.domaincontrol.com. |
thomasfuchslab.org. | NS | 3600 | NS Record: ns66.domaincontrol.com. |
Toggle navigation Home Data Research Computational Pathology Mitochondria Classification Urine Cell Classification Machine Learning Medical Statistics Computational Radiology and Crohn’s Disease Publications Members Teaching Software visionaRy TMARKER Jobs Collaborations Contact Welcome to the Thomas Fuchs Lab! Our laboratory focuses on research in the novel field of Computational Pathology . We develop and apply quantitative methods for the analysis of digital microscopy slides and relate the resulting statistical descriptors to patient outcomes. Specifically, we use supervised and unsupervised machine-learning algorithms and methods from computer vision and biostatistics to extract information from terabytes of data generated by modern pathology departments to gain insight into research questions such as how genetic mutations influence tissue morphology or which combinations of immunohistochemical markers predict patient survival. In addition to these research questions, we aim to |
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