Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/42069
Title: Identification of masses in mammograms by image sub-segmentation
Author: Corona-Gonzalez, R.I.
Miramontes-Murillo, R.
Arriola-Guevara, E.
Guatemala-Morales, G.
Toriz, G.
Pelayo-Ortiz, C.
Issue Date: 2014
Abstract: The production of succinic acid was studied with entrapped and adsorbed Actinobacillus succinogenes. The adsorption of fermentation products (organic acids in the concentration range of 1-20. g/L) on different supports was evaluated. It was found that succinic acid was adsorbed in small quantities on diatomite and zeolite (12.6. mg/g support). The highest production of succinic acid was achieved with A. succinogenes entrapped in agar beads. Batch fermentations with immobilized cells were carried out with glucose concentrations ranging from 20 to 80. g/L. Succinic acid (43.4. g/L) was obtained from 78.3. g/L glucose, and a high productivity (2.83. g/L. h) was obtained with a glucose concentration of 37.6. g/L. For repeated batch fermentations (5 cycles in 72. h) with immobilized cells in agar, the total glucose consumed was 147.55. g/L, while the production of succinic acid was 107. g/L. Immobilized cells reduced significantly the fermentation time, yield, productivity and final concentration of succinic acid. " 2014 Elsevier Ltd.",,,,,,"10.1016/j.biortech.2014.04.081",,,"http://hdl.handle.net/20.500.12104/42069","http://www.scopus.com/inward/record.url?eid=2-s2.0-84901191767&partnerID=40&md5=9ebcb28c0d37b6553d3b37a915a7637e
http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=medl&AN=24844165",,,,,,,,"Bioresource Technology",,"113
118",,"164",,"Scopus
WOS
MEDLINE",,,,"Index Medicus;Actinobacillus/cy [Cytology];Actinobacillus/de [Drug Effects];Actinobacillus/gd [Growth & Development];Actinobacillus/me [Metabolism];Adsorption;Agar/pd [Pharmacology];Bacterial Adhesion/de [Drug Effects];Bacterial Adhesion;Batch Cell Culture Techniques;Cells, Immobilized/de [Drug Effects];Cells, Immobilized/me [Metabolism];Fermentation/de [Drug Effects];Glucose/me [Metabolism];Glucose/pd [Pharmacology];Kinetics;Succinic Acid/me [Metabolism];Time Factors",,"Actinobacillus succinogenes; Immobilization; Repeated batch fermentations; Succinic acid",,,,,,"Immobilization of Actinobacillus succinogenes by adhesion or entrapment for the production of succinic acid",,"Article" "43821","123456789/35008",,"Ojeda-Magaña, B., Departamento de Ingeniería de Proyectos CUCEI, Universidad de Guadalajara, José Guadalupe Zuno, 48, C.P. 45101, Zapopan, Jalisco, Mexico; Ruelas, R., Departamento de Ingeniería de Proyectos CUCEI, Universidad de Guadalajara, José Guadalupe Zuno, 48, C.P. 45101, Zapopan, Jalisco, Mexico; Quintanilla-Domínguez, J., E.T.S.I. de Telecomunicación, Universidad Politécnica de Madrid, Avda. Complutense 30, Madrid 28040, Spain; Corona-Nakamura, M.A., Departamento de Ingeniería de Proyectos CUCEI, Universidad de Guadalajara, José Guadalupe Zuno, 48, C.P. 45101, Zapopan, Jalisco, Mexico; Andina, D., E.T.S.I. de Telecomunicación, Universidad Politécnica de Madrid, Avda. Complutense 30, Madrid 28040, Spain",,"Ojeda-Magana, B.
Ruelas, R.
Quintanilla-Dominguez, J.
Corona-Nakamura, M.A.
Andina, D.",,"2011",,"Mass detection in mammography is a complex and challenge problem for digital image processing. Partitional clustering algorithms are a good alternative for automatic detection of such elements, but have the disadvantage of having to segment an image into a number of regions, the number of which is unknown in advance, in addition to discrete approximations of the regions of interest. In this work we use a method of image sub-segmentation to identify possible masses in mammography. The advantage of this method is that the number of regions to segment the image is a known value so the algorithm is applied only once. Additionally, there is a parameter ? that can change between 1 and 0 in a continuous way, offering the possibility of a continuous and more accurate approximation of the region of interest. Finally, since the identification of masses is based on the internal similarity of a group data, this method offers the possibility to identify such objects even from a small number of pixels in digital images. This paper presents an illustrative example using the traditional segmentation of images and the sub-segmentation method, which highlights the potential of the alternative we propose for such problems. " 2011 Springer-Verlag Berlin Heidelberg.
URI: http://hdl.handle.net/20.500.12104/42042
http://www.scopus.com/inward/record.url?eid=2-s2.0-80052946064&partnerID=40&md5=a5768ca1351d38a9913d1a897439451b
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