Embarking on a preliminary literature review is crucial for gaining comprehensive insights into methodologies and challenges associated with developing Convolutional Neural Network (CNN) frameworks for breast cancer detection. This exploration serves as a foundational knowledge base, providing a nuanced understanding… Continue Reading
Figure 1 Process for CNN Model Construction Data Collection This project will leverage a total of 2005 high-resolution open-source mammograms, comprising 1003 contrast-enhanced spectral mammograms (CESM) and 1002 subtracted mammograms from Khaled et al.’s dataset (2021). Within the 1003 CESM,… Continue Reading
Background Breast cancer stands as a prominent global health concern, predominantly impacting women, with 2.3 million new diagnoses and 685,000 deaths reported globally in 2020, according to 2023 World Health Organisation statistics. Despite its prevalence, the disease boasts a curability… Continue Reading