<b>Code for Automatic Segmentation and Classification of Breast Cancer/Manohar</b>

Monari, Mahoher Rao

Description

· The experiment analysis of the proposed approach is implemented using the INbreast and CBIS-DDSM datasets. Finally, the combined intelligent technique (Improved GoogleNet-Modified ResNet-53) based cancer detection system is developed using Python, and the system's efficiency is determined using different performance metrics.

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Mentions (0)

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Metrics

Dataset Index

2.0

FAIR Score

81%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.6084/m9.figshare.25801309.v1

Publisher

figshare

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

50%

Source

Scholar Data Model

Keywords

Biomedical imaging

Normalization Factors

13.46

CTw

1.00

MTw

1.00