A Weakly Supervised Deep Learning Approach for Detecting Malaria and Sickle Cells in Blood Films

First Author: Manescu P

Attributed to: Tackling Malaria Diagnosis in sub-Saharan Africa with Fast, Accurate and Scalable Robotic Automation, Computer Vision and Machine Learning (FASt-Mal) funded by GCRF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-030-59722-1_22

Publication URI: http://dx.doi.org/10.1007/978-3-030-59722-1_22

Type: Book Chapter

Book Title: Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V (2020)

Page Reference: 226-235

ISSN: 2731-5525