Improving the segmentation accuracy of ovarian-tumor ultrasound images using image inpainting

HIGHLIGHTS

  • who: Lijiang Chen and collaborators from the School of Electronic and Information Engineering, Beihang University, No, Xueyuan Road, Haidian District, Beijing, China have published the Article: Improving the Segmentation Accuracy of Ovarian-Tumor Ultrasound Images Using Image Inpainting, in the Journal: Bioengineering 2023, 10, 184. of /2023/
  • what: The authors observe that these symbols are centered in ovarian tumor lesions, which negatively affects the training of the model to a positive extent, causing the network to focus more on the symbols in the lesions, which in turn reduces the recognition accuracy of ovarian tumors in . . .

     

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