27 citations · 50 across the 8 of their papers we have counts for
9 papers
A Recent Survey of Vision Transformers for Medical Image Segmentation
Asifullah Khan, Zunaira Rauf, Abdul Rehman Khan +13
Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Traditionally, convolut…
COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs
Saddam Hussain Khan
In December 2019, the global pandemic COVID-19 in Wuhan, China, affected human life and the worldwide economy. Therefore, an efficient diagnostic system is required to control its…
A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI
Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Saddam Hussain Khan +1
Brain tumors analysis is important in timely diagnosis and effective treatment to cure patients. Tumor analysis is challenging because of tumor morphology like size, location, text…
IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN
Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal +1
Interaction between devices, people, and the Internet has given birth to a new digital communication model, the Internet of Things (IoT). The seamless network of these smart device…
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
Saddam Hussain Khan, Asifullah Khan, Yeon Soo Lee +2
Automatic segmentation of shoulder muscle MRI is challenging due to the high variation in muscle size, shape, texture, and spatial position of tears. Manual segmentation of tear an…
Malware Classification Using Deep Boosted Learning
Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal +2
Malicious activities in cyberspace have gone further than simply hacking machines and spreading viruses. It has become a challenge for a nations survival and hence has evolved to c…