Zobrazeno 1 - 10
of 2 731
pro vyhledávání: '"Arcot, A."'
Autor:
Spooner, Annette, Moridani, Mohammad Karimi, Safarchi, Azadeh, Maher, Salim, Vafaee, Fatemeh, Zekry, Amany, Sowmya, Arcot
The complementary information found in different modalities of patient data can aid in more accurate modelling of a patient's disease state and a better understanding of the underlying biological processes of a disease. However, the analysis of multi
Externí odkaz:
http://arxiv.org/abs/2409.13791
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
Autor:
Javed, Syed, Khan, Tariq M., Qayyum, Abdul, Alinejad-Rokny, Hamid, Sowmya, Arcot, Razzak, Imran
Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis. While deep learning techniques excel at this task, their computational demands pose challenges. Additionally, som
Externí odkaz:
http://arxiv.org/abs/2405.17520
Survival risk stratification is an important step in clinical decision making for breast cancer management. We propose a novel deep learning approach for this purpose by integrating histopathological imaging, genetic and clinical data. It employs vis
Externí odkaz:
http://arxiv.org/abs/2402.11788
Publikováno v:
JBHI, 24 June 2024
Breast cancer is a significant health concern affecting millions of women worldwide. Accurate survival risk stratification plays a crucial role in guiding personalised treatment decisions and improving patient outcomes. Here we present BioFusionNet,
Externí odkaz:
http://arxiv.org/abs/2402.10717
Coronary artery diseases are among the leading causes of mortality worldwide. Timely and accurate diagnosis, facilitated by precise coronary artery segmentation, is pivotal in changing patient outcomes. In the realm of biomedical imaging, convolution
Externí odkaz:
http://arxiv.org/abs/2310.10002
Autor:
Md. Shariful Alam, Dadong Wang, Yulia Arzhaeva, Jesse Alexander Ende, Joanna Kao, Liz Silverstone, Deborah Yates, Olivier Salvado, Arcot Sowmya
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due to the wide variation in lung appearance caused by disease progression and differing X-ray settings. While deep learning models have shown re
Externí odkaz:
https://doaj.org/article/35d2b4d8068744e7b639bbf5d220194f
Publikováno v:
Neurology International, Vol 16, Iss 5, Pp 1158-1163 (2024)
Embryologically, the left brachiocephalic vein (LBV) originates as an anastomotic channel between the right and left anterior cardinal veins. This positions the LBV between the manubrium sterni anteriorly and the innominate artery posteriorly. This p
Externí odkaz:
https://doaj.org/article/3a36ef1b7b1244a186c82f9d111d1627
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract X-Ray micro-computed tomography (XCT) is used to reveal the micro-structural changes of banana pseudostem nanocellulose bioplastic due to a biodegradation process initiated in a formulated composting media that allowed the growth of aerobic
Externí odkaz:
https://doaj.org/article/02acb380cbb5465382a7e58194ae4698
Autor:
Rahman, Md Akizur, Singh, Sonit, Shanmugalingam, Kuruparan, Iyer, Sankaran, Blair, Alan, Ravindran, Praveen, Sowmya, Arcot
Segmentation of the sigmoid colon is a crucial aspect of treating diverticulitis. It enables accurate identification and localisation of inflammation, which in turn helps healthcare professionals make informed decisions about the most appropriate tre
Externí odkaz:
http://arxiv.org/abs/2309.13872