Effective features to classify ovarian cancer data in internet of medical things
Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to
detect at initial stage resulting to increased mortality rate. The OC data generated from the …
detect at initial stage resulting to increased mortality rate. The OC data generated from the …
Feature optimization and identification of ovarian cancer using internet of medical things
Ovarian cancer (OC) is one kind of tumour that impacts women's ovaries and is hard to
diagnose in the initial phase as a primary cause of cancer death. The ovarian cancer …
diagnose in the initial phase as a primary cause of cancer death. The ovarian cancer …
Ovarian cancer classification accuracy analysis using 15-neuron artificial neural networks model
Ovarian cancer is a severe disease for older woman. Based on the research, ovarian cancer
is the fifth commonly disease and the seventh causes of death for woman worldwide. For …
is the fifth commonly disease and the seventh causes of death for woman worldwide. For …
Ovary cancer diagnosing empowered with machine learning
A high mortality rate is associated with ovarian cancer, one of the most common types of
cancers in women. Ovarian cancer refers to a group of disorders that develop in the ovaries …
cancers in women. Ovarian cancer refers to a group of disorders that develop in the ovaries …
Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks
In today's healthcare setting, the accurate and timely diagnosis of breast cancer is critical for
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …
Early-stage detection of ovarian cancer based on clinical data using machine learning approaches
One of the common types of cancer for women is ovarian cancer. Still, at present, there are
no drug therapies that can properly cure this deadly disease. However, early-stage detection …
no drug therapies that can properly cure this deadly disease. However, early-stage detection …
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 …
Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network
Abstract Machine learning and deep learning methods aims to discover patterns out of
datasets such as, microarray data and medical data. In recent years, the importance of …
datasets such as, microarray data and medical data. In recent years, the importance of …
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 …
ultrasound examiners must address the common clinical challenge of distinguishing …
Detection of ovarian tumors in obstetric ultrasound imaging using logistic regression classifier with an advanced machine learning approach
Z Zhang, Y Han - IEEE Access, 2020 - ieeexplore.ieee.org
This paper addresses the use in different stages of pregnancy of ultrasound imaging and to
examine the tumors diagnosed during lactation or pregnancy. There are recent …
examine the tumors diagnosed during lactation or pregnancy. There are recent …