Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data

4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

AvLokendra Thakur,Paul Rahul

E-bok
Engelska, 2021

791 kr

Läs direkt i Bokus Reader – eller ladda ned till din enhet

Beskrivning

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.

Produktinformation

Utforska kategorier

Hoppa över listan

Du kanske också är intresserad av

Jaime Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, Jose Pereira Amorim, Vishal Patel, Badri Roysam, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi - Interpretable and Annotation-Efficient Learning for Medical Image Computing, Häftad
Del 12446

Interpretable and Annotation-Efficient Learning for Medical Image Computing

Jaime Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, Jose Pereira Amorim, Vishal Patel, Badri Roysam, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi

Häftad, 2020

549 kr

Samaneh Abbasi, Emanuele Trucco, Diana Mateus, Veronika Cheplygina, Raphael Sznitman, Khoa Luu, Ngan Le, Steve Jiang, Kevin Zhou, Badri Roysam, Vishal Patel, Jose Pereira Amorim, Ricardo Cruz, Wilson Silva, Ivana Isgum, Pedro Henriques Abreu, Nicholas Heller, Hien Van Nguyen, Jaime Cardoso - Interpretable and Annotation-Efficient Learning for Medical Image Computing, E-bok

Interpretable and Annotation-Efficient Learning for Medical Image Computing

Samaneh Abbasi, Emanuele Trucco, Diana Mateus, Veronika Cheplygina, Raphael Sznitman, Khoa Luu, Ngan Le, Steve Jiang, Kevin Zhou, Badri Roysam, Vishal Patel, Jose Pereira Amorim, Ricardo Cruz, Wilson Silva, Ivana Isgum, Pedro Henriques Abreu, Nicholas Heller, Hien Van Nguyen, Jaime Cardoso

E-bok
2020

687 kr