Research Article
Automatic Histogram Specification for Glioma Grading Using Multicenter Data
Algorithm 1
HSASR algorithm pseudocode description.
(i) | Input: Mixed dataset F, data sample number N, number of each sample slice K | (ii) | Output: Optimal reference slice | (1) | Step1: Coarse search | (2) | Function HSBM (n, F1, )//Histogram specification based on brain MRI | (3) | { | (4) | F1 = Random (range (0, N), F 30%)//Random selection of 30% of dataset | (5) | For each do | (6) | For each do | (7) | | (8) | | (9) | Calculate: | (10) | End for | (11) | | (12) | End for | (13) | } | (14) | Sort max() | (15) | = Max(F2) | (16) | For each do | (17) | if then | (18) | Select | (19) | end | (20) | End for | (21) | Select the optimal set F3 | (22) | Step 2 Fine search | (23) | Initializes Pointers | (24) | For each //Search both ends | (25) | | (26) | For | (27) | HSBM (n, F1, ) | (28) | End for | (29) | End for | (30) | For each | (31) | | (32) | For | (33) | HSBM (n, F1, ) | (34) | End for | (35) | End for | (36) | Output: select the first optimal slice |
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