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Yearly Archives: 2021
Detection of Lung Nodules via Deep Learning in Micro-CT
Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning Matthew D. Holbrook; Darin P. Clark; Rutulkumar Patel; Yi Qi; Alex M. Bassil; Yvonne M. Mowery; Cristian T. Badea Tomography 2021, Volume 7, Issue 3, 358-372 Data and Code Availability: The data presented in this work are available by request at https://civmvoxport.vm.duke.edu, and the code […]
Tumor Mapping
Our tumor mapping paper is now published and our images made the cover: Blocker SJ et al. Ex Vivo MR Histology and Cytometric Feature Mapping Connect Three-dimensional in Vivo MR Images to Two-dimensional Histopathologic Images of Murine Sarcomas. Radiol Imaging Cancer 2021 May;3(3):e200103. doi: 10.1148/rycan.2021200103
Protocol on the Primary Sarcoma Model
Our p53/MCA High Mutational Load Model of Soft Tissue Sarcoma Dr. Yvonne Mowery To recapitulate human soft tissue sarcoma (STS) in the preclinical setting of our co-clinical trial, we generate a primary mouse model of STS by intramascular injection of adenovirus containing Cas9 gene and a guide RNA targeting p53 gene (Adeno-Cas9-sgRNAp53) and carcinogen 3-methylcholanthrene […]
Towards deep learning detection of lung nodules using micro-CT data
M. Holbrook, et al. Towards deep learning segmentation of lung nodules using micro-CT data Proceedings Volume 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging; 116000I (2021) https://doi.org/10.1117/12.2581120 Event: SPIE Medical Imaging, 2021 Presentation: Holbrook_SPIE_LungTumors_2021
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