Computer Methods and Programs in Biomedicine

A database containing prostate histology whole slide images with both annotations of global Gleason scores and path-level Gleason grades. Data associated with the paper: Silva-Rodríguez, J., Colomer, A., Sales, M. A., Molina, R., & Naranjo, V. (2020). Going deeper through the Gleason scoring scale : An automatic end-to-end system for histology prostate grading and cribriform pattern detection. Computer Methods and Programs in Biomedicine, 195. https://doi.org/10.1016/j.cmpb.2020.105637

Simulated data set, and its R script, which was used to obtain the results provided in this paper.

Here, two free and online publicly available databases: STARE and DRIVE for retinal blood vessels

The dataset contains 5 pairs of images (for a total of 10 images). The images have been preprocessed, segmented and masked. Affine transformation has been applied across pre- and intra-operative pairs, i.e they are ready for non-rigid registration. There are 3 pairs of images of a liver phantom based on patient specific data. Deformation simulating pneumoperitoneum has been applied to these images. ARTORG centre and Cascination produced the phantom. They are x-ray reconstructions (DynaCT). Images 6 - 9 are image pairs of pre- and intra- operative porcine liver MRI scans conducted at Oslo University Hospital - Rikshospitalet, Norway. Intra-operative images have pneumoperitoneum applied to the abdomen. They are contrast-enhanced MR images (enhanced-T1 high-resolution isotropic volume examination (eTHRIVE)). The dataset was created at and owned by The Intervention Center, Oslo University Hospital - Rikshospitalet, Norway.

This dataset is about social anxiety disorder and contains 31 attributes in 3 categories named demographic, emotional, and physical symptoms. The "hasSAD" field refers to the presence of Social Anxiety Disorder in person. Attribute documentation: 1 id: patient identification number 2 age: age in years 3 EducationLevel: Education level ( 1=High School; 2=Diploma; 3=Undergraduate; 4=Bachelor degree; 5=Master degree; 6=Post-graduate 4 Gender: sex (1 = male; 0 = female) 5 HasFamilyHistory: Family history of anxiety or depression (1 = yes; 0 = no) 6 Occupation: (1=Student; 2=Faculty member; 3=Employee; 4=self-employment; 5=Unemployed ) 7 ATF: The fear of being at the center of attention (Range=0-10) 8 EAF: The fear of eating in front of another person (Range=0-10) 9 TKF: The fear of speaking in public (Range=0-10) 10 CMT: The fear of attending parties (Range=0-10) 11 DEF: The fear of eating and drinking in public places(Range=0-10) 12 SMF: The fear of meeting or contact with strangers (Range=0-10) 13 ERF: The fear of getting in a room where others are sitting (Range=0-10) 14 DAF: The fear of disagreement with strangers (Range=0-10) 15 HR: Has heart palpitations (1=yes; 0=no ) 16 SW: Has sweating (1=yes; 0=no ) 17 TR: Has a tremor (1=yes; 0=no ) 18 DR: Has dry mouth (1=yes; 0=no ) 19 BR: Has hard breathing (1=yes; 0=no ) 20 CK: Has a feeling of suffocation (1=yes; 0=no ) 21 CP: Has chest pain (1=yes; 0=no ) 22 NS: Has gastrointestinal discomfort and nausea (1=yes; 0=no ) 23 DZ: Has a feeling of dizzy, weak and sick (1=yes; 0=no ) 24 UR: Has a feeling of being unreal (1=yes; 0=no ) 25 UB: Has a fear of losing balance (1=yes; 0=no ) 26 MD: Has a fear of being crazy (1=yes; 0=no ) 27 TG: Has numbness or moaning (1=yes; 0=no ) 29 hasSAD: (1=yes; 0=no) 30 SPIN: The result of the Social Phobia Inventory questionnaire (Range=0-68) 31 LSAS: The result of the Liebowitz Social Anxiety Scale questionnaire (Range=0-144)

This files contains all codes, data as well as descriptions of its use accompanied with reproducible examples.

DataBase.xls: PCA 1st component of the radial, circumferential and longitudinal strain for the main study and the follow-up study. strain.mat: data file with radial, circumferential and longitudinal strain values for the 16 AHA segments of the main and the follow-up studies.

The article contains a set of 12 linear and nonlinear indices extracted from Fetal Heart Rate (FHR) recordings by means of CTG monitors on two groups of fetuses: 60 normals and 60 Intra Uterine Growth Restricted (IUGR) fetuses. The two populations were selected by clinicians after birth on the basis of clinical standards for detecting growth restricted newborns (Apgar scores, percentile weight, …). The indices were computed on FHR recordings, each one lasting more than 30 minutes, by means of algorithms already published in the scientific literature.

Data Health Literacy Survey in Semarang, Indonesia using HLS-EU-Q47

Research data file contains the appendices referenced in the article. Spreadshets contain the most relevant anonymized information of the participants during the study period.