Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digitization and automated learning. We selected 40 di...
Main Authors: | Harish Babu Arunachalam, Rashika Mishra, Ovidiu Daescu, Kevin Cederberg, Dinesh Rakheja, Anita Sengupta, David Leonard, Rami Hallac, Patrick Leavey |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0210706 |
Similar Items
-
Osteosarcoma: Lessons Learned and Future Avenues
by: Ajay Puri, et al.
Published: (2013-01-01) -
Differential Effect of Viable Versus Necrotic Neutrophils on Mycobacterium tuberculosis Growth and Cytokine Induction in Whole Blood
by: David M. Lowe, et al.
Published: (2018-04-01) -
Neutrophil extracellular traps form a barrier between necrotic and viable areas in acute abdominal inflammation
by: Rostyslav Bilyy, et al.
Published: (2016-10-01) -
Sound-slide programmed learning.
by: Bellinoff, Alan Eliot.
Published: (2012) -
Think aloud protocols: Viable for teaching, learning, and professional development in interpreting
by: Amanda Smith
Published: (2014-04-01)