SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION

SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION

Breast cancer (BC) ranks the second most prevalent cancer among women globally and is the leading cause of female mortality. The conventional method for BC detection primarily relies on biopsy; this might be time-consuming and error prone. The substantial lives lost due to BC underscores its signifi...

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Bibliographic Details
Main Authors: Nageswara Rao Gali, Panduranga Vital Terlapu, Yasaswini Mandavakuriti, Sai Manoj Somu, Madhavi Varanasi, Vijay Telugu, Maheswara Rao V V R
Format: Article
Language:English
Published: University of Kragujevac 2024-12-01
Series:Proceedings on Engineering Sciences
Subjects:
breast cancer
deep learning
cnn
svm
random forest
vgg-16
xgboost
Online Access:https://pesjournal.net/journal/v6-n4/32.pdf
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https://pesjournal.net/journal/v6-n4/32.pdf

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