Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Zohaib Amjad"'
Autor:
Rabia Naseem, Zohaib Amjad Khan, Nitin Satpute, Azeddine Beghdadi, Faouzi Alaya Cheikh, Joaquin Olivares
Publikováno v:
IEEE Access, Vol 9, Pp 118154-118167 (2021)
Tumor segmentation in Computed Tomography (CT) images is a crucial step in image-guided surgery. However, low-contrast CT images impede the performance of subsequent segmentation tasks. Contrast enhancement is then used as a preprocessing step to hig
Externí odkaz:
https://doaj.org/article/62b08cc4139d43d5ab266f6c3409461d
Autor:
Khan, Zohaib Amjad, Beghdadi, Azeddine, Kaaniche, Mounir, Cheikh, Faouzi Alaya, Gharbi, Osama
Video quality assessment is a challenging problem having a critical significance in the context of medical imaging. For instance, in laparoscopic surgery, the acquired video data suffers from different kinds of distortion that not only hinder surgery
Externí odkaz:
http://arxiv.org/abs/2202.04517
Laparoscopic images and videos are often affected by different types of distortion like noise, smoke, blur and nonuniform illumination. Automatic detection of these distortions, followed generally by application of appropriate image quality enhanceme
Externí odkaz:
http://arxiv.org/abs/2106.06784
Autor:
Wang, Congcong, Zhao, Meng, Zhou, Chengguang, Dong, Nanqing, Khan, Zohaib Amjad, Zhao, Xintong, Alaya Cheikh, Faouzi, Beghdadi, Azeddine, Chen, Shengyong
Publikováno v:
In Computers in Biology and Medicine January 2024 168
Autor:
Khan, Zohaib Amjad, Beghdadi, Azeddine, Cheikh, Faouzi Alaya, Kaaniche, Mounir, Pelanis, Egidijus, Palomar, Rafael, Fretland, Åsmund Avdem, Edwin, Bjørn, Elle, Ole Jakob
Publikováno v:
Proc. SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 113160P (2020)
Laparoscopic videos can be affected by different distortions which may impact the performance of surgery and introduce surgical errors. In this work, we propose a framework for automatically detecting and identifying such distortions and their severi
Externí odkaz:
http://arxiv.org/abs/2003.12679
Publikováno v:
Multimedia Tools and Applications. 82:13951-13971
Autor:
Azeddine Beghdadi, Muhammad Ali Qureshi, Borhen-Eddine Dakkar, Hammad Hassan Gillani, Zohaib Amjad Khan, Mounir Kaaniche, Mohib Ullah, Faouzi Alaya Cheikh
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Akademický článek
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Publikováno v:
Multimedia Tools & Applications; Apr2023, Vol. 82 Issue 9, p13951-13971, 21p