Zobrazeno 1 - 10
of 489
pro vyhledávání: '"Janowczyk A"'
Multi-Modal Language Models (MLLMs) have transformed artificial intelligence by combining visual and text data, making applications like image captioning, visual question answering, and multi-modal content creation possible. This ability to understan
Externí odkaz:
http://arxiv.org/abs/2411.05056
Autor:
Liakopoulos, Petros, Massonnet, Julien, Bonjour, Jonatan, Mizrakli, Medya Tekes, Graham, Simon, Cuendet, Michel A., Seipel, Amanda H., Michielin, Olivier, Merkler, Doron, Janowczyk, Andrew
In computational digital pathology, accurate nuclear segmentation of Hematoxylin and Eosin (H&E) stained whole slide images (WSIs) is a critical step for many analyses and tissue characterizations. One popular deep learning-based nuclear segmentation
Externí odkaz:
http://arxiv.org/abs/2405.14028
Autor:
Fan, Fan, Martinez, Georgia, Desilvio, Thomas, Shin, John, Chen, Yijiang, Wang, Bangchen, Ozeki, Takaya, Lafarge, Maxime W., Koelzer, Viktor H., Barisoni, Laura, Madabhushi, Anant, Viswanath, Satish E., Janowczyk, Andrew
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to negatively impact machine learning (ML) model generalizability. Here we release CohortFinder, an open-source t
Externí odkaz:
http://arxiv.org/abs/2307.08673
Autor:
Walker, Cedric, Talawalla, Tasneem, Toth, Robert, Ambekar, Akhil, Rea, Kien, Chamian, Oswin, Fan, Fan, Berezowska, Sabina, Rottenberg, Sven, Madabhushi, Anant, Maillard, Marie, Barisoni, Laura, Horlings, Hugo Mark, Janowczyk, Andrew
The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histological objects. Here we release an open-source labeling tool, PatchSorte
Externí odkaz:
http://arxiv.org/abs/2307.07528
Autor:
Fan Fan, Georgia Martinez, Thomas DeSilvio, John Shin, Yijiang Chen, Jackson Jacobs, Bangchen Wang, Takaya Ozeki, Maxime W. Lafarge, Viktor H. Koelzer, Laura Barisoni, Anant Madabhushi, Satish E. Viswanath, Andrew Janowczyk
Publikováno v:
npj Imaging, Vol 2, Iss 1, Pp 1-7 (2024)
Abstract Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to negatively impact machine learning (ML) model generalizability. Here we release CohortFinder ( http:/
Externí odkaz:
https://doaj.org/article/4fdb68ecd100482e94a7fe441fb62a63
Publikováno v:
Polish Maritime Research, Vol 31, Iss 2, Pp 121-131 (2024)
The primary objective of this research was to implement a more efficient handling strategy in the container terminal storage yard at the Baltic Hub Container Terminal (BHCT). Following an analysis of the current logistics system associated with starb
Externí odkaz:
https://doaj.org/article/7d2d4304cb3f4ab9870b2406093d103d
Autor:
Cédric Walker, Tasneem Talawalla, Robert Toth, Akhil Ambekar, Kien Rea, Oswin Chamian, Fan Fan, Sabina Berezowska, Sven Rottenberg, Anant Madabhushi, Marie Maillard, Laura Barisoni, Hugo Mark Horlings, Andrew Janowczyk
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histological objects. Here we release an open-source labeling tool, P
Externí odkaz:
https://doaj.org/article/887f336880b34a1995344eabcbd97700
Autor:
Xiang Li, Casey C. Heirman, Ashlyn G. Rickard, Gina Sotolongo, Rico Castillo, Temitayo Adanlawo, Jeffery I. Everitt, Jeffery B. Hodgin, Tammara L. Watts, Andrew Janowczyk, Yvonne M. Mowery, Laura Barisoni, Kyle J. Lafata
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionImmune dysregulation plays a major role in cancer progression. The quantification of lymphocytic spatial inflammation may enable spatial system biology, improve understanding of therapeutic resistance, and contribute to prognostic imaging
Externí odkaz:
https://doaj.org/article/108dd592c3f5483aba2e29aba84f2c13
Autor:
Rumberger, Josef Lorenz, Baumann, Elias, Hirsch, Peter, Janowczyk, Andrew, Zlobec, Inti, Kainmueller, Dagmar
We describe here the panoptic segmentation method we devised for our participation in the CoNIC: Colon Nuclei Identification and Counting Challenge at ISBI 2022. Key features of our method are a weighted loss specifically engineered for semantic segm
Externí odkaz:
http://arxiv.org/abs/2203.11692
Image based biomarker discovery typically requires an accurate segmentation of histologic structures (e.g., cell nuclei, tubules, epithelial regions) in digital pathology Whole Slide Images (WSI). Unfortunately, annotating each structure of interest
Externí odkaz:
http://arxiv.org/abs/2101.02183