Work

Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network

Year: 2018

Type: conference-paper

Source: Lecture notes in computer science

Parent work: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II

DOI: 10.1007/978-3-030-00934-2_65

Authors: Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes

Institutions: IBM Research - Australia, École Polytechnique Fédérale de Lausanne, University of Bern

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Award: Longitudinal Brain Tumor Segmentation with Uncertainty Estimation using Fully-connected Conditional Random Field and Perturb-and-Maximum-Posterior-Marginal Estimation

OpenAlex ID: W2808256519

FWCI: 6.393

Cites: 95

Cited by: 178

Related to: 10