TY  - GEN
AB  - This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, held on September 27, 2021, in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021. The 7 full papers presented at iMIMIC 2021 and 5 full papers held at TDA4MedicalData 2021 were carefully reviewed and selected from 12 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. TDA4MedicalData is focusing on using TDA techniques to enhance the performance, generalizability, efficiency, and explainability of the current methods applied to medical data.
AU  - Reyes, Mauricio,
AU  - Abreu, Pedro Henriques,
AU  - Cardoso, Jaime S.
AU  - Hajij, Mustafa,
AU  - Zamzmi, Ghada,
AU  - Rahul, Paul,
AU  - Thakur, Lokendra,
CN  - RC78.7.D53
DO  - 10.1007/978-3-030-87444-5
DO  - doi
ID  - 1439843
KW  - Diagnostic imaging
KW  - Computer-assisted surgery
KW  - Imagerie pour le diagnostic
KW  - Chirurgie assistée par ordinateur
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87444-5
N1  - International conference proceedings.
N1  - Conference held virtually.
N1  - Includes author index.
N2  - This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, held on September 27, 2021, in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021. The 7 full papers presented at iMIMIC 2021 and 5 full papers held at TDA4MedicalData 2021 were carefully reviewed and selected from 12 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. TDA4MedicalData is focusing on using TDA techniques to enhance the performance, generalizability, efficiency, and explainability of the current methods applied to medical data.
SN  - 9783030874445
SN  - 3030874443
T1  - Interpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data :4th international workshop, and 1st international workshop, TDA4MedicalData 2021 : held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
TI  - Interpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data :4th international workshop, and 1st international workshop, TDA4MedicalData 2021 : held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87444-5
VL  - 12929
ER  -