How many features are extracted per cell in the Diagnostic Wisconsin Breast Cancer Database?
Saturday, 05 August 2023 by EITCA Academy
The Diagnostic Wisconsin Breast Cancer Database (DWBCD) is a widely used dataset in the field of medical research and machine learning. It contains various features extracted from digitized images of fine needle aspirates (FNAs) of breast masses, which can be used to classify these masses as either benign or malignant. In the context of building
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, TensorFlow in Google Colaboratory, Building a deep neural network with TensorFlow in Colab, Examination review
Tagged under: Artificial Intelligence, Breast Cancer, Dataset, Features, Machine Learning, Medical Research