Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Kalinin, Alexandr A."'
Acne, a prevalent skin condition, necessitates precise severity assessment for effective treatment. Acne severity grading typically involves lesion counting and global assessment. However, manual grading suffers from variability and inefficiency, hig
Externí odkaz:
http://arxiv.org/abs/2403.00268
Autor:
Serrano, Erik, Chandrasekaran, Srinivas Niranj, Bunten, Dave, Brewer, Kenneth I., Tomkinson, Jenna, Kern, Roshan, Bornholdt, Michael, Fleming, Stephen, Pei, Ruifan, Arevalo, John, Tsang, Hillary, Rubinetti, Vincent, Tromans-Coia, Callum, Becker, Tim, Weisbart, Erin, Bunne, Charlotte, Kalinin, Alexandr A., Senft, Rebecca, Taylor, Stephen J., Jamali, Nasim, Adeboye, Adeniyi, Abbasi, Hamdah Shafqat, Goodman, Allen, Caicedo, Juan C., Carpenter, Anne E., Cimini, Beth A., Singh, Shantanu, Way, Gregory P.
Advances in high-throughput microscopy have enabled the rapid acquisition of large numbers of high-content microscopy images. Whether by deep learning or classical algorithms, image analysis pipelines then produce single-cell features. To process the
Externí odkaz:
http://arxiv.org/abs/2311.13417
Autor:
Lee, Benjamin D., Gitter, Anthony, Greene, Casey S., Raschka, Sebastian, Maguire, Finlay, Titus, Alexander J., Kessler, Michael D., Lee, Alexandra J., Chevrette, Marc G., Stewart, Paul Allen, Britto-Borges, Thiago, Cofer, Evan M., Yu, Kun-Hsing, Carmona, Juan Jose, Fertig, Elana J., Kalinin, Alexandr A., Signal, Beth, Lengerich, Benjamin J., Triche Jr, Timothy J., Boca, Simina M.
Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that can recognize patterns in data and use them for predictive modeling. A
Externí odkaz:
http://arxiv.org/abs/2105.14372
Publikováno v:
Computers in biology and medicine. 2022
Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions such as stalled blood flow in cerebral capillaries are associated with cognitive decline and pathogenesis in Alzheimer's disease. Recent advances in imaging t
Externí odkaz:
http://arxiv.org/abs/2104.01687
Publikováno v:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2020, pp. 1436-1443
Pneumonia is the leading cause of death among young children and one of the top mortality causes worldwide. The pneumonia detection is usually performed through examine of chest X-ray radiograph by highly-trained specialists. This process is tedious
Externí odkaz:
http://arxiv.org/abs/2005.13899
Autor:
Yu, Shan, Kalinin, Alexandr A., Paraskevopoulou, Maria D., Maruggi, Marco, Cheng, Jie, Tang, Jie, Icke, Ilknur, Luo, Yi, Wei, Qun, Scheibe, Dan, Hunter, Joel, Singh, Shantanu, Nguyen, Deborah, Carpenter, Anne E., Horman, Shane R.
Publikováno v:
In Cell Chemical Biology 21 September 2023 30(9):1169-1182
Autor:
Rakhlin, Alexander, Tiulpin, Aleksei, Shvets, Alexey A., Kalinin, Alexandr A., Iglovikov, Vladimir I., Nikolenko, Sergey
Breast cancer is one of the main causes of death worldwide. Histopathological cellularity assessment of residual tumors in post-surgical tissues is used to analyze a tumor's response to a therapy. Correct cellularity assessment increases the chances
Externí odkaz:
http://arxiv.org/abs/1905.01743
Autor:
Buslaev, Alexander, Parinov, Alex, Khvedchenya, Eugene, Iglovikov, Vladimir I., Kalinin, Alexandr A.
Data augmentation is a commonly used technique for increasing both the size and the diversity of labeled training sets by leveraging input transformations that preserve output labels. In computer vision domain, image augmentations have become a commo
Externí odkaz:
http://arxiv.org/abs/1809.06839
Modern mobile neural networks with a reduced number of weights and parameters do a good job with image classification tasks, but even they may be too complex to be implemented in an FPGA for video processing tasks. The article proposes neural network
Externí odkaz:
http://arxiv.org/abs/1808.09945
Publikováno v:
2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
Accurate detection and localization for angiodysplasia lesions is an important problem in early stage diagnostics of gastrointestinal bleeding and anemia. Gold-standard for angiodysplasia detection and localization is performed using wireless capsule
Externí odkaz:
http://arxiv.org/abs/1804.08024