Dec 15, 2022 · This research aims to develop a framework to identify Benign/Malignant class images from the Breast Histology Slide (BHS).
Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class. December 2022. DOI:10.1007/978-3-031-21517-9_6.
Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class. https://doi.org/10.1007/978-3-031-21517-9_6 ·.
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The results show that classification accuracy of > 94%, precision of > 92%, sensitivity of > 92% and specificity of > 90% are achieved applying the developed ...
Aug 26, 2023 · Automatic Screening System to Distinguish Benign/Malignant Breast-Cancer Histology Images Using Optimized Deep and Handcrafted Features.
This paper proposes a methodology consisting of two phases: attributes selection and classification based on the attributes selected. Phase 1 uses the ...
Jan 30, 2023 · The proposed hybrid CNN-LSTM model showed the highest overall accuracy of 99% for binary classification of benign and malignant cancer.
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Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class. Seifedine Kadry, Venkatesan Rajinikanth, Gautam ...
Random forest algorithm achieved better result for classifying benign and malignant images ... on Firefly Algorithm for Feature Selection: A Case Study on QSAR ...
