private void btn_load_Click(object sender, EventArgs e)
{
ExperimentsNames wsiIndexItem = new ExperimentsNames();
this.Invoke(new MethodInvoker(delegate() { wsiIndexItem = (ExperimentsNames)cmbBox_experiments.SelectedItem; }));
int wsiIndex = wsiIndexItem.Order;
cancer_path = ExplanationDatabase.wsi_paths[wsiIndex];
string label_path = ExplanationDatabase.wsi_labels_paths[wsiIndex];
richTxtBxInfo.Invoke((MethodInvoker) delegate {
richTxtBxInfo.Text = $"Načitávam label map";
});
cancer_img = new Bitmap(cancer_path);
label_img = new Bitmap(label_path);
clear_cancer_img = new Bitmap(cancer_path);
pcBx_cancer.Image = cancer_img;
pcBx_label.Image = label_img;
this.probabilities = LoadDatabase.LoadProbabilities(wsiIndex);
trackBar1.Visible = true;
this.wsi_name = wsiIndexItem.Name;
folderPathToSaveResult = ExplanationDatabase.WSI_DATA_PATH + wsi_name + "\\results";
Directory.CreateDirectory(folderPathToSaveResult);
// load sugggested point to examine
this.suggestedPoints = Utilities.LoadSuggestedPoints(this.wsi_name);
this.suggestedPoints.Shuffle();
}
private void pcBx_cancer_Click(object sender, EventArgs e)
{
if (pcBx_cancer.Image != null && pcBx_label.Image != null)
{
MouseEventArgs me = (MouseEventArgs)e;
Point coordinates = me.Location;
if (me.Button == System.Windows.Forms.MouseButtons.Left)
{
this.pointer = this.SetNormalizePoint(coordinates);
this.newPointer = this.SetNormalizePoint(coordinates);
var coord = Utilities.GetAbsolutCoordinates(coordinates, ORIGINAL_SIZE, pcBx_cancer);
this.actualCoord = coord;
int x = coord[0];
int y = coord[1];
var pxColor = label_img.GetPixel(x, y);
int predictedLabel = ExplanationDatabase.GetLabel(pxColor);
var vector = LoadDatabase.GetProbabilityVector(probabilities, x, y);
string[] classes = new string[8];
double[] percent = new double[8];
for (int i = 0; i < 8; i++)
{
classes[i] = ExplanationDatabase.classes[i + 1];
percent[i] = Math.Round((double)vector[i] * 100, 2);
}
Array.Reverse(classes, 0, 8);
Array.Reverse(percent, 0, 8);
chart1.Series[0].Points.DataBindXY(classes, percent);
this.actualPredicted = predictedLabel;
//richTxtBxInfo.Text = $"Vybrané tkanivo je {ExplanationDatabase.classes[predictedLabel]}. ";
richTxtBxInfo.Text = $"Selected area of the tissue is type {ExplanationDatabase.classes[predictedLabel]}. ";
Utilities.HighlightWords(ExplanationDatabase.classes.Values.ToArray(), richTxtBxInfo);
groupBox_accuracy.Enabled = true;
pcBx_label.Refresh();
pcBx_cancer.Refresh();
}
}
}