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In this page, you can find some screenshots from CaReRa-Web.
You can login to "Demo" version, using "demo / demo" as account name
and password. Once you login using demo account, there are two options:
Browser and Data Upload. Browser allows you to
browse (view) submitted patients. Currently, you can perform
conventional search using keywords. The search engine, being developed
at CaReRa project, that uses a case as a query will be accesible from
this page. Data Upload allows you to upload a new patient to
CaReRaWeb. The "Demo" user has limited access and authorization for
demonstration of the system.
1. Data Upload
On the right hand side, a list of required fields are displayed.
Whenever a required field is filled with some data, a green check mark
(otherwise a red cross mark) is shown. Once the radiologist provides
information about all required fields, the patient can be submitted.
Otherwise, the patient information is saved and can be completed later.
In this tab, patient information (demographic, regular drugs, past and
chronic diseases, surgeries and genetic diseases) is provided. Past and chronic diseases of a
listed. Note that diseases are provided using ICD-10 codes. Other
diseases are listed as free text.
In this tab, patient complaints, physical examination results,
prediagnosis, currently used non-regular drugs, diagnosis and
laboratory results are provided.
Physical examination results are listed. The
radiologist's observation is that the patient has "Jaundice" and
In this tab, imaging observations of liver are described. All the
imaging observation fields and values are automatically retrieved from
In this figure, the radiologist reports that
the liver position in the body is normal and the liver contour is
In this tab, imaging observations of lesions are described. A DICOM
viewer is integrated to CaReRaWeb. The DICOM image is visualized and a
rectangular area where the lesion is observed is marked by the
radiologist. Then, imaging observations of marked lesion are specified.
All the imaging observation fields and values are automatically
retrieved from ONLIRA.
In this figure, marked rectangular area
contains multiple lesions that are located at Segment 8 in the right
lobe of the liver. The size of the largest lesion in this area is
measured as 21x20mm. This lesion is not adjacent to gallbladder.
The radiologist can search in all submitted patients by providing some
keywords. Another option is to list all submitted patients.
this particular patient, there are three segmentations and the third
segmentation is marked with a red rectangular area. Patient, study,
series and pathology information can be displayed for each of these
Website of VAVlab - Volumetric Analysis & Visualization Group