“…The assessment is usually done by the Dice coefficient (Dice) or the intersection over union (IoU) [ 62 , 100 , 106 , 108 , 126 , 129 , 144 ]. On the contrary, the classification tasks are variously evaluated, e.g., using area under the receiver operating characteristics curve (AUC) [ 50 , 54 , 86 , 92 , 106 , 111 , 115 , 138 , 143 , 146 , 154 , 159 ], accuracy [ 38 , 48 , 50 , 59 , 60 , 62 , 63 , 69 , 77 , 89 , 99 , 106 , 131 133 , 140 , 143 , 145 , 159 ], true positive rate [ 67 , 135 ], sensitivity [ 48 , 143 ], specificity [48] and Matthews correlation coefficient (MCC) [69] . Note that MCC is a balanced measurement for the binary classification tasks, with comprehensive evaluations of TP, TN, FP, and FN, therefore it is divided into the main task based performance evaluation.…”