A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application.
Journal:
BMC bioinformatics
Published Date:
Mar 23, 2023
Abstract
BACKGROUND: Using visual, biological, and electronic health records data as the sole input source, pretrained convolutional neural networks and conventional machine learning methods have been heavily employed for the identification of various malignancies. Initially, a series of preprocessing steps and image segmentation steps are performed to extract region of interest features from noisy features. Then, the extracted features are applied to several machine learning and deep learning methods for the detection of cancer.
