17 citations · 29 across the 6 of their papers we have counts for
6 papers
Residual-SwinCA-Net: A Channel-Aware Integrated Residual CNN-Swin Transformer for Malignant Lesion Segmentation in BUSI
Saeeda Naz, Saddam Hussain Khan
A novel deep hybrid Residual-SwinCA-Net segmentation framework is proposed in the study for addressing such challenges by extracting locally correlated and robust features, incorpo…
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
Clinicians decisions are becoming more and more evidence-based meaning in no other field the big data analytics so promising as in healthcare. Due to the sheer size and availabilit…
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak +1
The camera captured images have various aspects to investigate. Generally, the emphasis of research depends on the interesting regions. Sometimes the focus could be on color segmen…
Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier
Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati +1
The recognition of cursive script is regarded as a subtle task in optical character recognition due to its varied representation. Every cursive script has different nature and asso…
Deep Learning for Medical Image Processing: Overview, Challenges and Future
Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib
Healthcare sector is totally different from other industry. It is on high priority sector and people expect highest level of care and services regardless of cost. It did not achiev…
Deep Learning based Isolated Arabic Scene Character Recognition
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak +1
The technological advancement and sophistication in cameras and gadgets prompt researchers to have focus on image analysis and text understanding. The deep learning techniques demo…