[Retracted] Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">SegHead position</td><td class="align_center">MIoU</td><td class="align_center">MPA</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Case 1</td><td class="align_center">87.94</td><td class="align_center">91.49</td></tr><tr><td class="align_left">Case 2</td><td class="align_center">87.97</td><td class="align_center">91.56</td></tr><tr><td class="align_left">Case 3</td><td class="align_center"><b>89.63</b></td><td class="align_center"><b>92.71</b></td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance differences for different segmentation head positions.</div>

Oxidative Medicine and Cellular Longevity

tab4

Table 4

Table 4: [Retracted] Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images 