Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hassan, Bilal"'
Autor:
CH, Nadeem Jabbar, Saghir, Aqib, Meer, Ayaz Ahmad, Sahi, Salman Ahmad, Hassan, Bilal, Yasir, Siddiqui Muhammad
Deepfake is a generative deep learning algorithm that creates or changes facial features in a very realistic way making it hard to differentiate the real from the fake features It can be used to make movies look better as well as to spread false info
Externí odkaz:
http://arxiv.org/abs/2406.13295
This work addresses limitations in recent 3D tracking-by-detection methods, focusing on identifying legitimate trajectories and addressing state estimation drift in Kalman filters. Current methods rely heavily on threshold-based filtering of false po
Externí odkaz:
http://arxiv.org/abs/2405.11536
Autor:
Raja, Hina, Hassan, Taimur, Hassan, Bilal, Akram, Muhammad Usman, Raja, Hira, Abd-alrazaq, Alaa A, Yousefi, Siamak, Werghi, Naoufel
This paper provides a systematic survey of retinal diseases that cause visual impairments or blindness, emphasizing the importance of early detection for effective treatment. It covers both clinical and automated approaches for detecting retinal dise
Externí odkaz:
http://arxiv.org/abs/2311.13710
Autor:
Hassan, Taimur, Hassan, Bilal, Akram, Muhammad Usman, Hashmi, Shahrukh, Taguri, Abdel Hakim, Werghi, Naoufel
Publikováno v:
IEEE Transactions on Instrumentation and Measurement, 2021
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness. Many researchers have developed autonomous systems to recognize retinopathy via fundus and optical coherence tomogr
Externí odkaz:
http://arxiv.org/abs/2110.09319
This paper proposes an automated method for the segmentation and extraction of the posterior segment of the human eye, including the vitreous, retina, choroid, and sclera compartments, using multi-vendor optical coherence tomography (OCT) scans. The
Externí odkaz:
http://arxiv.org/abs/2109.10000
Prostate cancer (PCa) is the second deadliest form of cancer in males, and it can be clinically graded by examining the structural representations of Gleason tissues. This paper proposes \RV{a new method} for segmenting the Gleason tissues \RV{(patch
Externí odkaz:
http://arxiv.org/abs/2011.00527
The current developments in the field of machine vision have opened new vistas towards deploying multimodal biometric recognition systems in various real-world applications. These systems have the ability to deal with the limitations of unimodal biom
Externí odkaz:
http://arxiv.org/abs/2003.00825