… ovarian tumour segmentation method in the ovarian ultrasound image brought by classification…
, an efficient ovarian tumour detection, segmentation and classification system is intended …

… In the work [18,19], Otsu’s method was used to segment the tumour and a dice … segmentation,
cGAN was used [20] and, in this study, the segmentation and classification of tumours were …

… segmentation and classification of ovarian tumours in discriminating between benign and
malignant tumours by … for ovarian cancer segmentation and classification with an average …

… the ovarian tumours with an accuracy of 98%, and the attention U-Net has segmented the
detected ovarian tumours … can be used to aid radiologists in the diagnosis of ovarian cancer. …

… to get the best out of the classification accuracy. An efficient ovarian tumour segmentation,
feature extraction and selection by using PSO and classification is offered in this work by …

… In the work [18,19], Otsu’s method was used to segment the tumour and a dice … segmentation,
cGAN was used [20] and, in this study, the segmentation and classification of tumours were …

… to segment the lesion area on MR images. Then, the segmented regions were fed into a
classification model based on DL network to categorize ovarian masses automatically. For …

… C Means clustering method segmentation is used and the classification has done by using
… of ovarian tumour provide classification accuracy of results based on classification of benign …

… All static ultrasound images of ovarian tumours used in this study are the results of
ultrasound scans conducted on women recruited into the IOTA study. All women in this study …

… , we will design a method for the classification of ovarian cancer with the help of HE stained
images of PLCO (Prostate, Lung, Colorectal and Ovarian) dataset. In order to obtain best …