[HTML][HTML] Comparative analysis of breast cancer detection using machine learning and biosensors
Y Amethiya, P Pipariya, S Patel, M Shah - Intelligent Medicine, 2022 - Elsevier
Breast cancer is a widely occurring cancer in women worldwide and is related to high
mortality. The objective of this review was to present several approaches to investigate the …
mortality. The objective of this review was to present several approaches to investigate the …
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Abstract Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019
and has spread rapidly all over the world since the beginning of 2020, has infected millions …
and has spread rapidly all over the world since the beginning of 2020, has infected millions …
A review paper on breast cancer detection using deep learning
KS Priyanka - IOP conference series: materials science and …, 2021 - iopscience.iop.org
Breast Cancer is most popular and growing disease in the world. Breast Cancer is mostly
found in the women. Early detection is a way to control the breast cancer. There are many …
found in the women. Early detection is a way to control the breast cancer. There are many …
Performance analysis of xgboost ensemble methods for survivability with the classification of breast cancer
TR Mahesh, V Vinoth Kumar… - Journal of …, 2022 - Wiley Online Library
Breast cancer (BC) disease is the most common and rapidly spreading disease across the
globe. This disease can be prevented if identified early, and this eventually reduces the …
globe. This disease can be prevented if identified early, and this eventually reduces the …
A framework for lung and colon cancer diagnosis via lightweight deep learning models and transformation methods
Among the leading causes of mortality and morbidity in people are lung and colon cancers.
They may develop concurrently in organs and negatively impact human life. If cancer is not …
They may develop concurrently in organs and negatively impact human life. If cancer is not …
Breast cancer–detection system using PCA, multilayer perceptron, transfer learning, and support vector machine
This study proposed a new processing method to predict breast cancer on the basis of nine
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …
A novel proposal for deep learning-based diabetes prediction: converting clinical data to image data
Diabetes, one of the most common diseases worldwide, has become an increasingly global
threat to humans in recent years. However, early detection of diabetes greatly inhibits the …
threat to humans in recent years. However, early detection of diabetes greatly inhibits the …
Early predictive model for breast cancer classification using blended ensemble learning
Breast cancer is one of the most common cancers among women's worldwide, and it is a fact
that most of the cases are discovered late. Several researchers have examined the …
that most of the cases are discovered late. Several researchers have examined the …
Artificial intelligence for the diagnosis of clinically significant prostate cancer based on multimodal data: a multicenter study
H Zhang, J Ji, Z Liu, H Lu, C Qian, C Wei, S Chen, W Lu… - BMC medicine, 2023 - Springer
Background The introduction of multiparameter MRI and novel biomarkers has greatly
improved the prediction of clinically significant prostate cancer (csPCa). However, decision …
improved the prediction of clinically significant prostate cancer (csPCa). However, decision …
Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS–android application for breast cancer diagnosis …
MA Bülbül - The Journal of Supercomputing, 2024 - Springer
Breast cancer is a common disease that can result in death among women. Cancer research
is important because early detection of cancer facilitates clinical practice for patients. The …
is important because early detection of cancer facilitates clinical practice for patients. The …