Aarv Mankodi on Muck Rack

Aarv Mankodi

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Aarv

Contact Aarv, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

KDTViT knowledge distillation, transfer learning and transformer based deep learning framework for efficient histopathology image classification

|
By Praveen Shukla, Hitesh Tekchandani, Aarv Mankodi
| Nature Verified
Abstract Manual detection of breast cancer in histopathology images is a highly complex task due to variations in tissue appearance and the requirement for analysis across multiple magnifications levels. The often overlooked problem in most existing approaches is the number of models required for different magnification levels. Most works in this field use separate models for each magnification, which can limit scalability and practical real-world deployment.
Open in Who Shared Issue with article?
See all 1 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified