WOMT: Wasserstein Distribution Based Minimization of False Positives in Breast Tumor Classification Using Deep Learning

WOMT: Wasserstein Distribution Based Minimization of False Positives in Breast Tumor Classification Using Deep Learning

Women’s life suffered and killed by invasive cancerous tumors is the most frequently highlighted header in many newsletters since 2010. There can be many. By their nature, invasive tumors spread from tissue to tissue and abduct themselves to cause new tumors. In many of the human biologic...

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Bibliographic Details
Main Authors: L. Lakshmi, Kunada Dhana Sree Devi, Shikha Gupta, K. Adi Narayana Reddy, Suresh Kumar Grandhi, Sandeep Kumar Panda
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bhattacharya's similarity
CNN
false positives
optimal mass transfer
Wasserstein distribution
Online Access:https://ieeexplore.ieee.org/document/10132478/

Internet

https://ieeexplore.ieee.org/document/10132478/

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