Automated ultrasound ovarian tumour segmentation and classification based on deep learning techniques
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 …
(US) ultrasonography is used as a screening examination to identify the appearance of …
A deep learning fusion approach to diagnosis the polycystic ovary syndrome (pcos)
One of the leading causes of female infertility is PCOS, which is a hormonal disorder
affecting women of childbearing age. The common symptoms of PCOS include increased …
affecting women of childbearing age. The common symptoms of PCOS include increased …
[HTML][HTML] Deep learning in ovarian cancer diagnosis: a comprehensive review of various imaging modalities
MH Sadeghi, S Sina, H Omidi… - Polish Journal of …, 2024 - ncbi.nlm.nih.gov
Ovarian cancer poses a major worldwide health issue, marked by high death rates and a
deficiency in reliable diagnostic methods. The precise and prompt detection of ovarian …
deficiency in reliable diagnostic methods. The precise and prompt detection of ovarian …
Classification and detection of ovarian cysts in ultrasound images
Ovarian cancer must be diagnosed properly to analyse the type of tumours and malignant
cysts in the body. Appropriate diagnosed tool will direct a physician to take correct treatment …
cysts in the body. Appropriate diagnosed tool will direct a physician to take correct treatment …
Multi-purposed diagnostic system for ovarian endometrioma using CNN and transformer networks in ultrasound
Objective Ovarian endometrioma (OMA) is one of the most common ovarian cysts
worldwide, seriously impairing the reproductive function of females. Accurate diagnosis is of …
worldwide, seriously impairing the reproductive function of females. Accurate diagnosis is of …
Deep convolutional neural networks for multiple histologic types of ovarian tumors classification in ultrasound images
M Wu, G Cui, S Lv, L Chen, Z Tian, M Yang… - Frontiers in …, 2023 - frontiersin.org
Objective This study aimed to evaluate and validate the performance of deep convolutional
neural networks when discriminating different histologic types of ovarian tumor in ultrasound …
neural networks when discriminating different histologic types of ovarian tumor in ultrasound …
Ovarian cancer detection in computed tomography images using ensembled deep optimized learning classifier
A Boyanapalli, A Shanthini - Concurrency and Computation …, 2023 - Wiley Online Library
Ovarian cancer (OC) is one of the most common deadly diseases threatening women
worldwide. In day to day life, a challenging task still exists for identifying OC in the early …
worldwide. In day to day life, a challenging task still exists for identifying OC in the early …
An Intelligent Machine Learning Approach for Ovarian Detection and Classification System using Ultrasonogram Images
Ovulatory disorders contribute significantly for female infertility. Intelligent ovarian detection
and classification is required for diagnosing and treating ovulatory disorders. Normal and …
and classification is required for diagnosing and treating ovulatory disorders. Normal and …
Automatic classification of ovarian cancer types from cytological images using deep convolutional neural networks
M Wu, C Yan, H Liu, Q Liu - Bioscience reports, 2018 - portlandpress.com
Ovarian cancer is one of the most common gynecologic malignancies. Accurate
classification of ovarian cancer types (serous carcinoma, mucous carcinoma, endometrioid …
classification of ovarian cancer types (serous carcinoma, mucous carcinoma, endometrioid …