U-net and its variants for medical image segmentation: A review of theory and applications

N Siddique, S Paheding, CP Elkin… - IEEE access, 2021 - ieeexplore.ieee.org
U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …

Multiple U-Net-based automatic segmentations and radiomics feature stability on ultrasound images for patients with ovarian cancer

J Jin, H Zhu, J Zhang, Y Ai, J Zhang, Y Teng… - Frontiers in …, 2021 - frontiersin.org
Few studies have reported the reproducibility and stability of ultrasound (US) images based
radiomics features obtained from automatic segmentation in oncology. The purpose of this …

Artificial intelligence for segmentation of bladder tumor cystoscopic images performed by U-Net with dilated convolution

J Mutaguchi, K Morooka, S Kobayashi… - Journal of …, 2022 - liebertpub.com
Background: Early intravesical recurrence after transurethral resection of bladder tumors
(TURBT) is often caused by overlooking of tumors during TURBT. Although narrow-band …

The accuracy and radiomics feature effects of multiple U-Net-based automatic segmentation models for transvaginal ultrasound images of cervical cancer

J Jin, H Zhu, Y Teng, Y Ai, C Xie, X Jin - Journal of Digital Imaging, 2022 - Springer
Ultrasound (US) imaging has been recognized and widely used as a screening and
diagnostic imaging modality for cervical cancer all over the world. However, few studies …

Performance analysis of ultrasound ovarian tumour segmentation using GrabCut and FL-SNNM

K Srilatha, V Ulagamuthalvi - 2021 international conference on …, 2021 - ieeexplore.ieee.org
The advanced world has been influenced by a great deal of sicknesses, and step by step
new ones continues arising. Yet, no infection has endangered the humankind as much as …

AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging

HM Whitney, R Yoeli-Bik… - Journal of Medical …, 2024 - spiedigitallibrary.org
Purpose Segmentation of ovarian/adnexal masses from surrounding tissue on ultrasound
images is a challenging task. The separation of masses into different components may also …

Optimized segmentation technique for detecting PCOS in ultrasound images

S Jeevitha, N Priya - Congress on Intelligent Systems: Proceedings of CIS …, 2022 - Springer
PCOS-polycystic ovary syndrome is one of the prominent disorders called endocrine that
occurred in the reproductive system of the female lifestyle. Ovulation issues are frequently …

Segmentation of ovarian cyst using improved U-NET and hybrid deep learning model

JM Shivaram - Multimedia Tools and Applications, 2024 - Springer
The female reproductive system relies on the ovaries to produce eggs, but ovarian cysts can
lead to complications such as torsion, infertility, and cancer, making it essential to diagnose …

Automated ultrasound ovarian tumour segmentation and classification based on deep learning techniques

K Srilatha, FV Jayasudha, M Sumathi… - … Conference on Advances …, 2021 - Springer
Ovarian Tumour is one of the common generally occurring tumours in females. Transvaginal
(US) ultrasonography is used as a screening examination to identify the appearance of …

NEW METHODS FOR THE AUTOMATED DETECTION OF ABNORMALITIES IN ULTRASOUND IMAGES OF THE OVARY: Article History: Submission: 19-08-2024; …

A Dileep - International Journal of Medical Science, 2024 - ijmsci.org
Polycystic ovary syndrome (PCOS), a hormonal disorder with diverse diagnostic criteria, is
currently diagnosed through manual analysis of ultrasound images, requiring time …