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...
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: | |
Online Access: | https://ieeexplore.ieee.org/document/10132478/ |
Similar Items
-
Fused Gromov-Wasserstein Distance for Structured Objects
by: Titouan Vayer, et al.
Published: (2020-08-01) -
Wasserstein Generative Adversarial Network Based De-Blurring Using Perceptual Similarity
by: Minsoo Hong, et al.
Published: (2019-06-01) -
Explainable AI Using the Wasserstein Distance
by: Shion Samadder Chaudhury, et al.
Published: (2024-01-01) -
Multimedia Analysis and Fusion via Wasserstein Barycenter
by: Cong Jin, et al.
Published: (2020-02-01) -
Wasserstein distance estimates for jump-diffusion processes
by: Breton, Jean-Christophe, et al.
Published: (2024)