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Mashup Score: 1Microvascular Invasion in Hepatocellular Carcinoma: Can a CT Radiomics Model Have an Impact? - 1 year(s) ago
A hybrid computed tomography radiomics model demonstrated up to an 86 percent area under the curve in predicting microvascular invasion in patients with hepatocellular carcinoma in a recently published study.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet
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Mashup Score: 1Microvascular Invasion in Hepatocellular Carcinoma: Can a CT Radiomics Model Have an Impact? - 1 year(s) ago
A hybrid computed tomography radiomics model demonstrated up to an 86 percent area under the curve in predicting microvascular invasion in patients with hepatocellular carcinoma in a recently published study.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Microvascular Invasion in Hepatocellular Carcinoma: Can a CT #Radiomics Model Have an Impact? https://t.co/0IbnpLjnWo @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @SocietyAbdRad @DukeRadiology @PennRadiology @MontefioreRAD @NYUImaging @UABRadiology #radiology #RadRes #CTRad https://t.co/uIrfZdfWWM
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Mashup Score: 0Performing Automatic Identification and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach - 1 year(s) ago
Accurate clinical staging of bladder cancer aids in optimizing the process of clinical decision-making, thereby tailoring the effective treatment and management of patients. While several radiomics approaches have been developed to facilitate the process of clinical diagnosis and staging of bladder cancer using grayscale computed tomography (CT) scans, the performances of these models have been…
Source: MDPICategories: Latest Headlines, UrologyTweet-
Staging of #bladdercancer to identify muscle-invasion using a Hybrid #DeepLearning #MachineLearning Approach applied to #radiomics on CT scans-honored to coauthor in work led by #DrSuryadiptoSarkar-coauthors @TeresaWuMD @Parminder1699 @IrbazRiaz https://t.co/wA6ihD77k3… https://t.co/LK81TE2VJ6 https://t.co/Qq6Vb0UnQm
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Mashup Score: 0Can an Emerging Radiomics Model Improve CT Angiography Assessment of Heart Attack Risk? - 1 year(s) ago
Derived from coronary computed tomography angiography (CCTA) images, a radiomics model demonstrated a 75 percent or greater area under the curve (AUC) in multiple test sets for identifying vulnerable plaque.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can an Emerging #Radiomics Model Improve CT Angiography Assessment of #HeartAttack Risk? https://t.co/NiQbqmf7BB @ACRRFS @ACRYPS @RadiologyACR @RSNA @SIRspecialists @anals_of_IR @PennRadiology @NYUImaging @CooperRadRes @UABRadiology @YaleRadiology #radiology #CTRad #RadRes https://t.co/diLGGT7ixd
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Mashup Score: 0Can an Emerging Radiomics Model Improve CT Angiography Assessment of Heart Attack Risk? - 1 year(s) ago
Derived from coronary computed tomography angiography (CCTA) images, a radiomics model demonstrated a 75 percent or greater area under the curve (AUC) in multiple test sets for identifying vulnerable plaque.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can an Emerging #Radiomics Model Improve CT Angiography Assessment of #HeartAttack Risk? https://t.co/FDM7wlmrNm @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @SIRspecialists @RadiologyUcla @StanfordRad @UNMRadiology @OHSURadiology @UTSW_Radiology #radiology #RadRes #CTRad https://t.co/5hTIMWiyV6
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Mashup Score: 0Can an Emerging Radiomics Model Improve CT Angiography Assessment of Heart Attack Risk? - 1 year(s) ago
Derived from coronary computed tomography angiography (CCTA) images, a radiomics model demonstrated a 75 percent or greater area under the curve (AUC) in multiple test sets for identifying vulnerable plaque.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can an Emerging #Radiomics Model Improve CT Angiography Assessment of #HeartAttack Risk? https://t.co/WLX5Ya9ZCi @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @PennRadiology @EmoryRadiology @BrighamRad @WCMRadiology @NYUImaging @UABRadiology #radiology #RadRes #CTRad https://t.co/475gG9FtRf
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Mashup Score: 0Can an Emerging Radiomics Model Improve CT Angiography Assessment of Heart Attack Risk? - 1 year(s) ago
Derived from coronary computed tomography angiography (CCTA) images, a radiomics model demonstrated a 75 percent or greater area under the curve (AUC) in multiple test sets for identifying vulnerable plaque.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can an Emerging #Radiomics Model Improve CT Angiography Assessment of #HeartAttack Risk? https://t.co/M3ujkoU91U @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @StanfordRad @UTSW_Radiology @RadiologyUSC @UofURadiology @UWRadiology #radiology #RadRes #CTRad https://t.co/OV9gkqdVbp
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Mashup Score: 0Can an Emerging Radiomics Model Improve CT Angiography Assessment of Heart Attack Risk? - 1 year(s) ago
Derived from coronary computed tomography angiography (CCTA) images, a radiomics model demonstrated a 75 percent or greater area under the curve (AUC) in multiple test sets for identifying vulnerable plaque.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can an Emerging #Radiomics Model Improve CT Angiography Assessment of #HeartAttrack Risk? https://t.co/B2xyzWcLjg @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @SIRspecialists @RadiologyUcla @RadiologyUSC @StanfordRad @StanfordRad @UTSW_Radiology @OHSURadiology #radiology #RadRes https://t.co/Jm4lmyMezw
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Mashup Score: 0Can an Emerging Radiomics Model Improve CT Angiography Assessment of Heart Attack Risk? - 1 year(s) ago
Derived from coronary computed tomography angiography (CCTA) images, a radiomics model demonstrated a 75 percent or greater area under the curve (AUC) in multiple test sets for identifying vulnerable plaque.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can an Emerging #Radiomics Model Improve CT Angiography Assessment of #HeartAttack Risk? https://t.co/x6Fn8oOAvD @ACRRFS @ACRYPS @SIRspecialists @WeillCornell_IR @RadiologyACR @ARRS_Radiology @RSNA @PennRadiology @NYUImaging @UABRadiology @UMichRadiology #radiology #RadRes #IRad https://t.co/ZXLCyiyAUU
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Mashup Score: 0Can an Emerging Radiomics Model Improve CT Angiography Assessment of Heart Attack Risk? - 1 year(s) ago
Derived from coronary computed tomography angiography (CCTA) images, a radiomics model demonstrated a 75 percent or greater area under the curve (AUC) in multiple test sets for identifying vulnerable plaque.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can an Emerging #Radiomics Model Improve CT Angiography Assessment of #HeartAttack Risk? https://t.co/ExrC5hjvLM @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @SIRspecialists @PennRadiology @ajgunnmd @MinaMakaryMD @EmoryRadiology @DukeRadiology #radiology #RadRes #CTRad https://t.co/2ZA0i9ceOi
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Microvascular Invasion in Hepatocellular Carcinoma: Can a CT #Radiomics Model Have an Impact? https://t.co/FTjzr3GAyW @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @SocietyAbdRad @MontefioreRAD @DukeRadiology @EmoryRadiology @PennRadiology @UABRadiology #radiology #RadRes #CTRad https://t.co/UqMOPzKVpy