The Spreading Prediction and Severity Analysis of Blood Cancer Using Scale-Invariant Feature Transform-Reference-Cited by-同舟云学术

The Spreading Prediction and Severity Analysis of Blood Cancer Using Scale-Invariant Feature Transform

Published:2023-09-01 Issue: Volume: Page:
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Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
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Author:

Mohammed Vazeer Ali¹,Mohammed Mehmood Ali²,Mohammed Murtuza Ali¹,Ramakrishnan Rakesh³,Logeshwaran J.⁴

Affiliation:

1. Lewis University,Department of Computer & Information System,Illinois,USA

2. University of The Cumberlands,Department of Information Technology,Williamsburg,KY,USA

3. University of The Cumberlands,Department of Information Technology,Union City,CA,USA

4. Sri Eshwar College of Engineering,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu,INDIA,641202

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275783/10275784/10276289.pdf?arnumber=10276289

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3. Deep learning-based light scattering microfluidic cytometry for label-free acute lymphocytic leukemia classification

4. An Effective and Robust Cancer Detection in the Lungs with BPNN and Watershed Segmentation

5. Taylor’s ecological power law as a consequence of scale invariant exponential dispersion models

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