cancer 1 candle 2 candy 31 cane 3 cane baskets 1 canine 36 canis 3 Canis lupus 1 cans 3 canvas 1 cap 2 capital 4 capitalism 2 cappuccino 1 car 152 car accident 17 car boot 5 car fire 1 car hire 1 car pain 1 car paint 2 car paint 2 car rental...
Tumor-aware, adversarial domain adaptation from ct to mri for lung cancer segmentation Med. Image Comput Comput. Assist Interv., 11071 (2018), pp. 777-785 CrossrefView in ScopusGoogle Scholar [16] E. Vorontsov, P. Molchanov, W. Byeon, S.D. Mello, V. Jampani, M. Liu, S. Kadoury,...
For this study, pelvic CBCT images and treatment planning CT images of 30 prostate cancer patients were used. We calculated the root mean squared error (RMSE), peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) to evaluate image-quality improvement and normalized mutual ...
Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images BMC Syst Biol, 12 (4) (2018), p. 56 Google Scholar [24] H.R. Roth, L. Lu, A. Farag, H.-C. Shin, J. Liu, E.B. Turkbey, R.M. Summers Deeporgan: multi-level...
COLON cancerCALCIUM chlorideROUGH surfacesMicrospheres with varying concentration of gum odina and sodium alginate were formulated using calcium chloride as a cross-linker by ionotropic gelation technique. The cover image designed by Ahana Hazra and co-authors shows the development of a novel ...
Surgical decisions and methods of surgery highly influence long term QoL for breast cancer (BC) survivors. This study is aimed towards an exploration of the dynamic changes in quality of life (QoL), anxiety/depression status, and body image (BI) among women with BC who received a mastectomy ...
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Purpose: To report acute and late toxicity in prostate cancer patients treated by high-dose intensity-modulated radiation therapy ( IMRT ) with daily image-guidance. Patients and Methods: From 06/2004–03/2008, 102 men were treated with 80 Gy IMRT with daily image-guidance. The risk groups ...
Deep-learning-based tomographic imaging is an important application of artificial intelligence and a new frontier of machine learning. Deep learning has been widely used in computer vision and image analysis, which deal with existing images, improve thes
To improve drug delivery, various targeting mechanisms have been proposed. Traditionally, they have been grouped into active and passive methods. Examples include ‘image-guided drug delivery’ with affinity-based cancer drugs, the use of external magnetic fields to steer ferric drug-particles towards...