Differential diagnosis of frontotemporal dementia subtypes with explainable deep learning on structural MRI

Autor: Da Ma, Jane Stocks, Howard Rosen, Kejal Kantarci, Samuel N. Lockhart, James R. Bateman, Suzanne Craft, Metin N. Gurcan, Karteek Popuri, Mirza Faisal Beg, Lei Wang, on behalf of the ALLFTD consortium

Publikováno v: Frontiers in Neuroscience, Vol 18 (2024)

BackgroundFrontotemporal dementia (FTD) represents a collection of neurobehavioral and neurocognitive syndromes that are associated with a significant degree of clinical, pathological, and genetic heterogeneity. Such heterogeneity hinders the identif

Externí odkaz: https://doaj.org/article/b48b2d2eb6b14e8e84f5d1a9b34a4ee3

Differentiation of Cerebellar Hemisphere Tumors: Combining Apparent Diffusion Coefficient Histogram Analysis and Structural MRI Features

Autor: Payabvash, Seyedmehdi, Tihan, Tarik, Cha, Soonmee

Publikováno v: Payabvash, Seyedmehdi; Tihan, Tarik; & Cha, Soonmee. (2018). Differentiation of Cerebellar Hemisphere Tumors: Combining Apparent Diffusion Coefficient Histogram Analysis and Structural MRI Features. JOURNAL OF NEUROIMAGING, 28(6), 656-665. doi: 10.1111/jon.12550. UCSF: Retrieved from: http://www.escholarship.org/uc/item/24z8j4sf
Journal of neuroimaging : official journal of the American Society of Neuroimaging, vol 28, iss 6

Background and purposeWe aimed to develop a diagnostic algorithm for differentiation of cerebellar hemisphere tumors, combining Apparent Diffusion Coefficient (ADC) histogram analysis and structural imaging features.MethodsPretreatment MRI of patient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0ecff5b93a4456362026c65cf9a52e18
http://www.escholarship.org/uc/item/24z8j4sf