Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges

S Huang, J Yang, S Fong, Q Zhao - Cancer letters, 2020 - Elsevier
Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …

Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review

F Moro, M Ciancia, D Zace, M Vagni… - … journal of cancer, 2024 - Wiley Online Library
The aim of this paper was to explore the role of artificial intelligence (AI) applied to
ultrasound imaging in gynecology oncology. Web of Science, PubMed, and Scopus …

Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging

ST Hsu, YJ Su, CH Hung, MJ Chen, CH Lu… - BMC Medical Informatics …, 2022 - Springer
Background Upon the discovery of ovarian cysts, obstetricians, gynecologists, and
ultrasound examiners must address the common clinical challenge of distinguishing …

[Retracted] Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images

X Wang, H Li, P Zheng - Oxidative Medicine And Cellular …, 2022 - Wiley Online Library
Ovarian cancer is one of the most common malignant tumours of female reproductive organs
in the world. The pelvic CT scan is a common examination method used for the screening of …

Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review

AH Koch, LS Jeelof, CLP Muntinga, TA Gootzen… - Insights into …, 2023 - Springer
Objectives Different noninvasive imaging methods to predict the chance of malignancy of
ovarian tumors are available. However, their predictive value is limited due to subjectivity of …

Machine learning-based detection of dengue from blood smear images utilizing platelet and lymphocyte characteristics

H Mayrose, GM Bairy, N Sampathila, S Belurkar… - Diagnostics, 2023 - mdpi.com
Dengue fever, also known as break-bone fever, can be life-threatening. Caused by DENV,
an RNA virus from the Flaviviridae family, dengue is currently a globally important public …

A hybrid deep learning approach for detection and segmentation of ovarian tumours

HH Maria, AM Jossy, S Malarvizhi - Neural Computing and Applications, 2023 - Springer
In recent days, artificial intelligence (AI) is gaining worldwide popularity in several industries
among which healthcare is an important sector. AI is being used in healthcare to reduce …

Local preserving class separation framework to identify gestational diabetes mellitus mother using ultrasound fetal cardiac image

A Gudigar, J Samanth, U Raghavendra… - IEEE …, 2020 - ieeexplore.ieee.org
In the presence of gestational diabetes mellitus (GDM), the fetus is exposed to a
hyperinsulinemia environment. This environment can cause a wide range of metabolic and …

AI tools offering cancer clinical applications for risk predictor, early detection, diagnosis, and accurate prognosis: perspectives in personalised care

R Khanyile, R Marima, M Mbeje, S Mutambirwa… - Artificial Intelligence and …, 2023 - Springer
Artificial intelligence (AI) is transforming the medical research and clinical workflow by
enhancing oncology clinical applications. AI-based tools are emerging as key role players in …

Detecting malignancy of ovarian tumour using convolutional neural network: A review

M Mathur, V Jindal, G Wadhwa - 2020 Sixth International …, 2020 - ieeexplore.ieee.org
Ovaries are important part of female reproductive system. The importance of these tiny
glands is derived from the production of female sex hormones and female gametes. The …