Search Results for author: Abdullah Nazib

Found 6 papers, 1 papers with code

Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach

no code implementations13 Jul 2024 Md Rakibul Islam, Riad Hassan, Abdullah Nazib, Kien Nguyen, Clinton Fookes, Md Zahidul Islam

Deep learning has achieved outstanding accuracy in medical image segmentation, particularly for objects like organs or tumors with smooth boundaries or large sizes.

Image Segmentation Medical Image Segmentation +2

A Multiple Decoder CNN for Inverse Consistent 3D Image Registration

no code implementations15 Feb 2020 Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin

The recent application of deep learning technologies in medical image registration has exponentially decreased the registration time and gradually increased registration accuracy when compared to their traditional counterparts.

Decoder Image Registration +1

A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data

no code implementations19 Oct 2018 Abdullah Nazib, Clinton Fookes, Dimitri Perrin

In this paper, we investigate and compare the performance of a deep learning based registration method with traditional optimization based methods on samples from tissue-clearing methods.

Deep Learning Image Registration

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