31 citations · 57 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
Debesh Jha, Vanshali Sharma, Debapriya Banik +30
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps durin…
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images
Momina Liaqat Ali, Zunaira Rauf, Asifullah Khan +3
Transformers, due to their ability to learn long range dependencies, have overcome the shortcomings of convolutional neural networks (CNNs) for global perspective learning. Therefo…
Ensemble CNNs for Breast Tumor Classification
Muhammad Umar Farooq, Zahid Ullah, Jeonghwan Gwak
To improve the recognition ability of computer-aided breast mass classification among mammographic images, in this work we explore the state-of-the-art classification networks to d…