multi drug resistance(mdr) is a major problem in the treatment of cancer and hemalological malignancies. this resistance is multi factorial and is the result of decreased intra cellular drug accumulation. this is partly due to the presence of a 170kd intra membranous protein termed p-glycoprotein(p-gp) that is an energy-dependent efflux pump which has increased expression on drug-resistance cel...

The FAB classification of acute leukemias was proposed by a cooperative French-American-British group as an easily applied classification useful for uniform assessment of large clinical therapeutic trials. Although the classification is based on morphological criteria, cytochemical, biochemical, immunological and cytogenetic studies supplement the morphologic criteria for accurate identificatio...

A retrospective study of 45 patients of acute leukaemia in children (15 years age), in relation to FAB classification, is presented. Acute lymphoblastic leukaemias (ALL) were commoner than acute myeloid leukaemias (AML), with an ALL:AML ratio of 4.63:1. Amongst ALL, L1 was the most frequent type (59%), followed by L2 (35%) and L3 (5.4%), respectively. FAB types M2, M3, M4 and M5 were diagnosed ...

The purpose of any classification of leukaemia is to identify distinct biological entities which diVer in aetiology, mechanisms of leukaemogenesis, clinicopathological features, and prognosis. Since the optimal treatment for such entities diVers, their recognition is not only of scientific interest but is also essential for optimal care of patients. Acute leukaemia can be classified in many way...

The purpose of any classification of leukaemia is to identify distinct biological entities which diVer in aetiology, mechanisms of leukaemogenesis, clinicopathological features, and prognosis. Since the optimal treatment for such entities diVers, their recognition is not only of scientific interest but is also essential for optimal care of patients. Acute leukaemia can be classified in many way...

in this paper the problem of 3d scene and object classification from depth data is addressed. in contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. in order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. exploiting the algorithmic information theory, a new def...