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();
                }
            }
        }