Zobrazeno 1 - 10
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pro vyhledávání: '"Khan, Tariq A."'
Autor:
Usman, Muhammad, Rehman, Azka, Shahid, Abdullah, Rehman, Abd Ur, Gho, Sung-Min, Lee, Aleum, Khan, Tariq M., Razzak, Imran
Despite advances in deep learning for estimating brain age from structural MRI data, incorporating functional MRI data is challenging due to its complex structure and the noisy nature of functional connectivity measurements. To address this, we prese
Externí odkaz:
http://arxiv.org/abs/2411.10100
Autor:
Wahab, Abdul, Khan, Tariq Mahmood, Iqbal, Shahzaib, AlShammari, Bandar, Alhaqbani, Bandar, Razzak, Imran
Identification of suspects based on partial and smudged fingerprints, commonly referred to as fingermarks or latent fingerprints, presents a significant challenge in the field of fingerprint recognition. Although fixed-length embeddings have shown ef
Externí odkaz:
http://arxiv.org/abs/2409.11802
Autor:
Naveed, Asim, Naqvi, Syed S., Khan, Tariq M., Iqbal, Shahzaib, Wani, M. Yaqoob, Khan, Haroon Ahmed
In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis, skin lesion segmentation is important. However, achieving precise segmentation is challenging due to inherent variations in appearance, contrast, texture, and b
Externí odkaz:
http://arxiv.org/abs/2409.05420
Deep learning has shown great potential for automated medical image segmentation to improve the precision and speed of disease diagnostics. However, the task presents significant difficulties due to variations in the scale, shape, texture, and contra
Externí odkaz:
http://arxiv.org/abs/2409.03367
Accurate segmentation of skin lesions within dermoscopic images plays a crucial role in the timely identification of skin cancer for computer-aided diagnosis on mobile platforms. However, varying shapes of the lesions, lack of defined edges, and the
Externí odkaz:
http://arxiv.org/abs/2409.01572
Autor:
Iqbal, Shahzaib, Ahmed, Hasnat, Sharif, Muhammad, Hena, Madiha, Khan, Tariq M., Razzak, Imran
Segmenting ultrasound images is critical for various medical applications, but it offers significant challenges due to ultrasound images' inherent noise and unpredictability. To address these challenges, we proposed EUIS-Net, a CNN network designed t
Externí odkaz:
http://arxiv.org/abs/2408.12323
Autor:
Siddiqui, Mahrukh, Iqbal, Shahzaib, AlShammari, Bandar, Alhaqbani, Bandar, Khan, Tariq M., Razzak, Imran
Compared to contact fingerprint images, contactless fingerprint images exhibit four distinct characteristics: (1) they contain less noise; (2) they have fewer discontinuities in ridge patterns; (3) the ridge-valley pattern is less distinct; and (4) t
Externí odkaz:
http://arxiv.org/abs/2408.09426
Early detection of skin cancer relies on precise segmentation of dermoscopic images of skin lesions. However, this task is challenging due to the irregular shape of the lesion, the lack of sharp borders, and the presence of artefacts such as marker c
Externí odkaz:
http://arxiv.org/abs/2408.09687
Retinal imaging has emerged as a promising method of addressing this challenge, taking advantage of the unique structure of the retina. The retina is an embryonic extension of the central nervous system, providing a direct in vivo window into neurolo
Externí odkaz:
http://arxiv.org/abs/2407.18970
Retinal diseases can cause irreversible vision loss in both eyes if not diagnosed and treated early. Since retinal diseases are so complicated, retinal imaging is likely to show two or more abnormalities. Current deep learning techniques for segmenti
Externí odkaz:
http://arxiv.org/abs/2407.02871