47 citations · 47 across the 3 of their papers we have counts for
4 papers
A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
Atifa Kalsoom, M. A. Iftikhar, Amjad Ali +3
Retinal fundus images provide valuable insights into the human eye's interior structure and crucial features, such as blood vessels, optic disk, macula, and fovea. However, accurat…
Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity
Abdul Hannaan, Zubair Shah, Aiman Erbad +2
This paper introduces a novel federated learning framework termed LoRa-FL designed for training low-rank one-shot image detection models deployed on edge devices. By incorporating…
Cross Modality Medical Image Synthesis for Improving Liver Segmentation
Muhammad Rafiq, Hazrat Ali, Ghulam Mujtaba +2
Deep learning-based computer-aided diagnosis (CAD) of medical images requires large datasets. However, the lack of large publicly available labeled datasets limits the development…
Deep Learning for Surgical Instrument Recognition and Segmentation in Robotic-Assisted Surgeries: A Systematic Review
Fatimaelzahraa Ali Ahmed, Mahmoud Yousef, Mariam Ali Ahmed +7
Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. Th…