--- a
+++ b/Semantic Features/NotUsed/GetRadiologistsRatings.m
@@ -0,0 +1,60 @@
+function [ RATINGS ] = GetRadiologistsRatings( data, rowNumber )
+%GetRadiologistsRatings Collects radiologists ratings belonging to all the
+%borders related to the same nodule image. 
+%   Takes the location of the Excel file with the doctors semantic ratings,
+%   and the name of the outline file you are interested in. Finds the name
+%   of the source image, then collects the radiologists ratings for that
+%   source image. Returns everything in the RATINGS structure. Easier than
+%   using dicominfo('1.dcm') since we need the rating .xlsx or we're stuck
+%   anyway. 
+%   Gives the # of ratings, ID of source image, IDs of related border
+%   images, and the ratings: subtlety,internalStructure,calcification,sphericity,
+%   margin,lobulation,spiculation,texture,malignancy.
+
+%modified column numbers 
+%find how many ratings for this nodule 
+noduleID = cell2mat(data(rowNumber,6));
+i = 1;
+while rowNumber+i <= size(data,1) && strcmp(cell2mat(data(rowNumber + i, 6)), noduleID) == 1
+    i = i+1;
+end
+totalRatings = i;
+matchingRows = (rowNumber:rowNumber + totalRatings - 1);
+%1 subtlety, 2 calcification, 3 sphericity, 4 margin, 5 lobulation, 
+%6 spiculation, 7 texture, 8 malignancy
+RATINGS.totalRatings = totalRatings;
+RATINGS.noduleID = noduleID;
+RATINGS.relatedInstances = cell2mat(data(matchingRows, 1));
+RATINGS.subtlety = cell2mat(data(matchingRows, 9));
+RATINGS.calcification = cell2mat(data(matchingRows, 10)); %not a 'ranking' number
+RATINGS.sphericity = cell2mat(data(matchingRows, 11));
+RATINGS.margin = cell2mat(data(matchingRows, 12));
+RATINGS.lobulation = cell2mat(data(matchingRows, 13));
+RATINGS.spiculation = cell2mat(data(matchingRows, 14));
+RATINGS.texture = cell2mat(data(matchingRows, 15));
+RATINGS.malignancy = cell2mat(data(matchingRows, 16));
+%RATINGS.internalStructure = cell2mat(data(matchingRows, 11)); %useless also not a ranking number
+RATINGS.sourceID = RATINGS.noduleID(1:30);
+RATINGS.sourceDirectory = char(data(matchingRows, 8)); %only need one of the identical entries
+
+RATINGS.stdev = [std(RATINGS.subtlety), std(RATINGS.calcification), ...
+    std(RATINGS.sphericity), std(RATINGS.margin), std(RATINGS.lobulation),...
+    std(RATINGS.spiculation), std(RATINGS.texture), std(RATINGS.malignancy)];
+RATINGS.rows = [rowNumber, rowNumber+totalRatings-1];
+%Get borders in numerical form. 
+borderCells = data(matchingRows, 20);
+RATINGS.borders = ParseBorderCells(borderCells); 
+RATINGS.area = cell2mat(data(matchingRows, 54)); 
+
+ 
+%Get extrema from x,y coordinates in the borders
+minCorner = min(RATINGS.borders{1}); %initialize
+maxCorner = max(RATINGS.borders{1});
+for i = 2:length(RATINGS.borders) %iterate
+    minCorner = min([minCorner; RATINGS.borders{i}]);
+    maxCorner = max([maxCorner; RATINGS.borders{i}]);
+end
+RATINGS.boundingBox = [minCorner; maxCorner];
+
+end
+