Review The Breast Cancer Detection Technique Using Hybrid Machine Learning
|International Journal of Computer Science and Engineering|
|© 2021 by SSRG - IJCSE Journal|
|Volume 8 Issue 6|
|Year of Publication : 2021|
|Authors : Nidhi Mongoriya, Vinod Patel|
How to Cite?
Nidhi Mongoriya, Vinod Patel, "Review The Breast Cancer Detection Technique Using Hybrid Machine Learning," SSRG International Journal of Computer Science and Engineering , vol. 8, no. 6, pp. 5-8, 2021. Crossref, https://doi.org/10.14445/23488387/IJCSE-V8I6P102
They used different algorithms to identify and diagnose breast cancer; proficient high values incorrectness. Furthest of the proposed algorithms separate were intent in objective detection and diagnosis of breast cancer through appropriate treatment for the corresponding case of breast cancer didn't occupy into their accounts. To perceive and diagnose breast cancer, physicians or radiologists have been used dissimilar images that are distributed by expanding an unusual device called modality accountable to screen somewhat organs of the human body like the brain and breast. These modalities are Digital; respectively, the device issues only one type of image. Practically a big number of the studied papers just contract with one kind of image. Few papers transaction with two types of images but not completely type images that are used in breast cancer. Dissimilar methods already exist to detect breast cancer, like soft computing and simulation techniques, but the greatest precise results were increased by machine learning techniques. Many methods are used, for example, logistic regression, k-Nearest-Neighbor (KNN), support vector machine (SVM); care is therefore being taken about how computational costs for breast cancer diagnoses can be reduced. A creative assembly method is being suggested, in other words (Breast Cancer)
Breast Cancer Detection, hybrid machine learning, Support vector machine
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