logo
Open menu
Login Register
Logo
Open event menu
Register Now Sponsorship Application

Abstract Detail

A detailed view of abstract

Schedule preview
Enhancing clinical diagnostic precision and optimizing radiologist workflows.

Utilizing Deep Learning to Reduce False Recalls in Digital Mammography

Dr. Arvinder Singh · India

This abstract details the integration of multi-layered convolutional neural networks (CNNs) into standard screening workflows. Based on a multi-center retrospective study, the AI framework demonstrated a 14% reduction in false-positive recalls while maintaining a 99.2% sensitivity rate, significantly lowering patient anxiety and unnecessary diagnostic biopsies.
Download PDF Back to Poster Abstracts

OTP Verification

Enter the code sent to your email

Didn’t receive OTP?

Forgot Password

Enter the registered email

Check your email

We've sent a 4-digit OTP to your email address. Please enter the code to verify your account.

Reset Password

Create a new password

Accommodation Rules

A valid ID proof is required for all guests at the time of check-in.

Rooms are allocated on a first-come, first-served basis unless pre-booked.

Any damage to hotel property will be charged to the guest.

Guests are requested to maintain cleanliness and respect shared spaces.

Outside visitors may be restricted as per hotel guidelines.

Noise levels should be kept minimal after 10 PM.

Thalassaemia International Federation is not responsible for any personal loss.