BUSCADOR RECOLECTA

Dades associades a l'article publicat: Lemaitre, G., Marti, R., Freixenet, J., Vilanova, J.C., Walker, P.M. i Meriaudeau, F. (2015). Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review. Computers in Biology and Medicine, vol. 60, p. 8-31. Disponible a https://doi.org/10.1016/j.compbiomed.2015.02.009, Instruccions per obrir els fitxers: cal concatenar els fitxers per crear el fitxer original. Dps es pot descomprimir amb tar al linux i amb 7zip al windows. Amb Linux console: cat file1 file2 file3 ... > file.tar.gz, descomprimir: tar -xzf file.tar.gz. I amb windows console: type file1 file2 file3 ... > file.tar.gz, descomprimir amb 7zip, Dataset available at I2CVB http://i2cvb.github.io/, Multi-parametric magnetic resonance imaging (MRI) dataset for prostate cancer detection. The purpose of this dataset is to help at the development of computer-aided detection and diagnosis (CAD) system of prostate cancer (CaP)

Instruccions per obrir els fitxers: cal concatenar els fitxers per crear el fitxer original. Dps es pot descomprimir amb tar al linux i amb 7zip al windows. Amb Linux console: cat file1 file2 file3 ... > file.tar.gz, descomprimir: tar -xzf file.tar.gz. I amb windows console: type file1 file2 file3 ... > file.tar.gz, descomprimir amb 7zip, Dades associades amb el capítol 6 de la següent tesi doctoral: Lemaître, Guillaume. “Computer-Aided Diagnosis for Prostate Cancer using Multi-Parametric Magnetic Resonance Imaging”. Tesi. Universitat de Girona i Université de Bourgogne Franche-Comté, 2016, Development and investigation of a multiparametric magnetic resonance CAD system for prostate cancer (CaP) detection. Data used for the pipeline developed in https://github.com/I2Cvb/mp-mri-prostate, Desenvolupament i investigació d'un sistema CAD de ressonància magnètica multiparamètrica per a la detecció del càncer de pròstata (CaP). Dades utilitzades per al pipeline desenvolupat a https://github.com/I2Cvb/mp-mri-prostate

Instruccions per obrir els fitxers: cal concatenar els fitxers per crear el fitxer original. Dps es pot descomprimir amb tar al linux i amb 7zip al windows. Amb Linux console: cat file1 file2 file3 ... > file.tar.gz, descomprimir: tar -xzf file.tar.gz. I amb windows console: type file1 file2 file3 ... > file.tar.gz, descomprimir amb 7zip, Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of prostate cancer to facilitate its diagnosis. A 3mm slice fat-suppressed T2W fast spin-echo sequence (TR/TE/ETL: 3400 ms/85 ms/13) is used to acquire images in sagittal and oblique coronal planes, the latter planes being orientated perpendicular or parallel to the prostate PZ – rectal wall axis. Three-dimensional T2W fast spin-echo (TR/TE/ETL: 3600 ms}/143 ms/109, slice thickness: 1.25 mm) images are then acquired in an oblique axial plane.The nominal matrix and FoV of the 3D T2W fast spin-echo images are 320x256 and 280x240 mm2, respectively, thereby affording sub-millimetric pixel resolution within the imaging plane.\nDCE-MRI is performed using a fat suppressed 3D T$_1$ VIBE sequence (TR/TE/Flip angle: 3.25 ms/1.12 ms/10 degrees; Matrix: 256x192; FoV: 280x210 (with 75% rectangular FoV); slab of 16 partitions of 3.5 mm thickness; temporal resolution: 6 s/slab over approximately 5 min). A power injector (Medrad, Indianola, USA) is used to provide a bolus injection of Gd-DTPA (Dotarem, Guerbet, Roissy, France) at a dose of 0.2 ml Gd-DTPA/kg of body weight

Dades primàries associades a l'article publicat: Garrabou, J., Gómez Gras, D., Ledoux, J.B. [et.al]. Collaborative Database to Track Mass Mortality Events in the Mediterranean Sea. Frontiers in Marine Science, 2019, vol. 6 art. núm. 707. Disponible a https://doi.org/10.3389/fmars.2019.00707, The data compiled in the MME-T-MEDNet dataset was gathered from published scientific papers, grey literature and technical reports using different searching strategies in ISI Web of Knowledge and Google Scholar using different sets of keywords (including those used in Rivetti et al. 2014 and Marba et al. 2015) as well as through contacts with researchers across the Mediterranean. The dataset comprises mass mortality events impacts observed at discrete events generally related to warming episodes across the Mediterranean. The dataset provides information about the year, season, geographic coordinates, protection status of the geographic location, species phylum, species name, the degree of mortality impact, depth range of the mortality and reported biotic and abiotic mortality drivers of the event, The Mass Mortality Events (MME-T-MEDNet) dataset compiles information reported on mass mortality events of species in the Mediterranean Sea affecting different organism dwelling in coastal ecosystems, We acknowledge the financial support by the Prince Albert II de Monaco Foundation (MIMOSA project nº 1983) and the project MPA-ADAPT funded by Interreg MED program (European Regional Development Fund)