… + was applied to automatically segment ovarian tumor and the segmented regions was used
as … U-net++ model could achieve accurate medical image segmentation result. Nested and …

… ) is presented in this paper for 2D ovarian-tumor ultrasound images to remove various symbols
… the accuracy of computerized ovarian tumor diagnosis. The segmentation accuracy was …

… , 0.9995, 0.8437 respectively, which indicates that our method can more accurately identify
the ovarian tumors from CT images than other competitive methods. Visual comparison of the …

Ovarian cancer is one of the leading causes of death worldwide among the female
population. Early diagnosis is crucial for patient treatment. In this work, our main objective is to …

… And these uncertain regions hamper accurate segmentation of ovarian tumors, which is
supported by the presented experiments in this paper. Therefore, the framework aims to estimate …

… segmentation software named Anatomatic for ovarian tumor segmentation on MRI images.
The software easily achieved accurate volumetric estimations of tumors on patients with …

… Given that many ovarian tumors are non-neoplastic [2, 3], making an accurate distinction …
little radiology experience segmented the test set which showed that the segmentation can be …

… is to study the accuracy of automatic segmentation algorithms based on multiple U-net models
and their effects on radiomics features from US images for patients with ovarian cancer. A …

… and accurately assists the different diagnosis of ovarian tumors in ultrasound images. …
highest accuracy for the ultrasound imaging of ovarian tumor classification. In addition to accurate …

… Overall, Chocolate cyst can be accurately segmented with IoU … : segmentation and label
prediction of eight ovarian tumor … The average result for ovarian tumor segmentation was no …