Lymphyctus B sive cellula B est lymphocytus cellula systematis immunitatis, quae post stimulationem anticorpora procreant. Itaque cellulae B sunt partis systematis immunitatis adaptivi, hoc est, illae stimulo immunologico creatione anticorporum responsum immunologicum efficiunt. Sine stimulatione cellulae B in statu quiescendi manent[1].
Index
1Etymologia
2Historia scientia
3Nexus interni
4Bibliographia
5Notae
6Nexus externi
Etymologia |
Litera B de Bursa Fabricii orta est.
Historia scientia |
Anno 1947 cellulae plasmaticae locus generandi anticorporum identificatae sunt[2], postea typus singularis[3].
Nexus interni
Cancer (morbus)
IgG
Lymphocytus
Lymphoma
Bibliographia |
Burnet, FM (1959). The Clonal Selection Theory of Acquired Immunity (Cambridge University Press, Cantabrigia)
Notae |
↑Franchina DG, Grusdat M1, Brenner D (2018). "B-Cell Metabolic Remodeling and Cancer". Trends Cancer4 (2): 138-50
↑Fagraeus A (1947). "Plasma cellular reaction and its relation to the formation of antibodies in vitro". Nature159 (4041): 499
↑Nossal GJ, Lederberg J (1958). "Antibody production by single cells". Nature181 (4620): 1419-20
Tabula multilinguis Rosettana in Museo Britannico ostenditur. Tabula Rosettana, [1] etiam titulo OGIS 90 agnita, est stela decreto de rebus sacris in Aegypto anno 196 a.C.n. lato inscripta. Tabula iuxta Rosettam Aegypti, urbem in delta Nili et ad oram maris Mediterranei iacentem, anno 1799 a milite Francico reperta est. Inventio stelae, linguis duabus scripturisque tribus inscriptae, eruditis Instituti Aegypti statim nuntiata est; ibi enim iussu imperatoris Napoleonis eruditi omnium scientiarum (sub aegide Commissionis Scientiarum et Artium) properaverant cum expeditione Francica. Qua a Britannis mox debellata, tabula Rosettana Londinium missa hodie apud Museum Britannicum iacet. Textus Graecus cito lectus interpretationi textuum Aegyptiorum (in formis hieroglyphica et demotica expressorum) gradatim adiuvit. Denique textum plene interpretatus est Ioannes Franciscus Champollion. Ab opere eruditorum cumulativo coepit hodiernus scripturae hieroglyphicae linguaeque Aegyptiae a...
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This is what I mean as document text image: I want to label the texts in image as separate blocks and my model should detect these labels as classes. NOTE: This is how the end result should be like: The labels like Block 1, Block 2, Block 3,.. should be Logo, Title, Date,.. Others, etc. Work done: First approach : I tried to implement this method via Object Detection, it didn't work. It didn't even detect any text. Second approach : Then I tried it using PixelLink. As this model is build for scene text detection, it detected each and every text in the image. But this method can detect multiple lines of text if the threshold values are increased. But I have no idea how do I add labels to the text blocks. PIXEL_CLS_WEIGHT_all_ones = 'PIXEL_CLS_WEIGHT_all_ones' PIXEL_C...
