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Titlebook: Brain Tumors; Their Biology and Pa Klaus J. Zülch Book 1986Latest edition Springer-Verlag Berlin Heidelberg 1986 Geschwulst.Grading.Hirnges

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楼主: squamous-cell
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Amel Bennaceur,Reiner Hähnle,Karl Meinkepossibility of damage to the surrounding brain tissue (so-called “delayed radionecrosis”), and the reaction of the individual patient to the use of ionizing radiation (Z. 1956, 1960b, c; Z. and O. 1974; O. and Z. 1974). These investigations have to be considered against the background of results ava
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Unsupervised Machine Learning Methodsotal removal, which might greatly influence the length of survival, is often technically impossible (J. and B. 1969) so that a tumor which is biologically benign may behave as “clinically malignant” (see p. 32), especially if shunt operations are impossible.
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Unsupervised Machine Learning Methods of the surrounding brain tissues, while . reactions are such sequelae as displacement and distortion of the brain produced by purely mechanical factors. The latter can lead to changes of the first type, as a result of constriction, herniation, circulatory inadequacy, or stasis accompanied by change
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Machine Learning Regression in Petrologys certainly uncommon. Acceptable descriptions, particularly for neuroepithelial tumors, are rare. Confirmed metastases have been demonstrated only in the following groups: pinealomas, sympathoblastomas and reti-noblastomas, medulloblastomas of the cerebellum, glioblastomas, meningiomas and sarcomas,
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Supervised Machine Learning Methodsor, all of the foregoing points have to be taken into acount, and only those tumors will be classified together that agree in a majority of these characteristics. Identical or similar cells alone, with differences in other characteristics, do not constitute a decisive criterion for the classificatio
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Erica H. Craig,Tim H. Craig,Mark R. Fullercroscopic and microscopic features and which up to the present were insufficiently defined. In the WHO classification (p. 18), however, terminology and subclassification appear to be very logical. This classification is based upon the predominant cell type but also includes mixed and anaplastic form
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Image Recognition in Wildlife Applications cited in the list of synonyms above. The arguments for the integration of all these subgroups into the main group will not be discussed here and can be found in the appropriate textbooks (K. L. 1978).
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