Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities
S Sushanki, AK Bhandari, AK Singh - Archives of Computational Methods …, 2024 - Springer
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
Predicting breast cancer from risk factors using SVM and extra-trees-based feature selection method
Developing a prediction model from risk factors can provide an efficient method to recognize
breast cancer. Machine learning (ML) algorithms have been applied to increase the …
breast cancer. Machine learning (ML) algorithms have been applied to increase the …
[HTML][HTML] A breast cancer risk predication and classification model with ensemble learning and big data fusion
Breast cancer is a major health issue for women all over the world. Effective care and better
patient outcomes depend on early identification and precise risk prediction. Ensemble …
patient outcomes depend on early identification and precise risk prediction. Ensemble …
Machine learning models for Parkinson's disease detection and stage classification based on spatial-temporal gait parameters
Background Parkinson's disease (PD) is a chronic and progressive neurodegenerative
disease with no cure, presenting a challenging diagnosis and management. However …
disease with no cure, presenting a challenging diagnosis and management. However …
Multi-level impacts of climate change and supply disruption events on a potato supply chain: An agent-based modeling approach
CONTEXT The world is experiencing frequent extreme weather events like droughts,
snowstorms, and shifting of seasons due to climate change. Increased frequency and …
snowstorms, and shifting of seasons due to climate change. Increased frequency and …
Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
Pneumonia is an acute respiratory infection caused by bacteria, viruses, or fungi and has
become very common in children ranging from 1 to 5 years of age. Common symptoms of …
become very common in children ranging from 1 to 5 years of age. Common symptoms of …
An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks
A computer-aided diagnosis (CAD) system requires automated stages of tumor detection,
segmentation, and classification that are integrated sequentially into one framework to assist …
segmentation, and classification that are integrated sequentially into one framework to assist …
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
The prediction of Brent crude oil trend using LSTM and Facebook prophet
D Güleryüz, E Özden - Avrupa Bilim ve Teknoloji Dergisi, 2020 - dergipark.org.tr
Crude oil and petroleum products are among the critical inputs of industrial production as
well as they are having an important role in logistics and transportation. Hence, sudden …
well as they are having an important role in logistics and transportation. Hence, sudden …