Amazing technological breakthrough possible @S-Logix

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • +91- 81240 01111

Social List

Data Augmentation in Training Deep Learning Models for Medical Image Analysis - 2020

Data Augmentation In Training Deep Learning Models For Medical Image Analysis

Research Area:  Machine Learning


Data augmentation is widely utilized to achieve more generalizable and accurate deep learning models based on relatively small labeled datasets. Data augmentation techniques are particularly critical in medical applications, where access to labeled data samples is commonly limited. Although data augmentation methods generally have a positive impact on the performance of deep learning models, not all data augmentation techniques are applicable and suitable for analyzing medical images. In this chapter, we review common image augmentation techniques and their properties. Furthermore, we present and evaluate application-specific data augmentation methods that are beneficial for medical image analysis. The material presented in this chapter aims to guide the use of data augmentation techniques in training deep learning models for various medical image analysis applications, in which annotated data are not abundant or are difficult to acquire.


Author(s) Name:  Behnaz Abdollahi, Naofumi Tomita & Saeed Hassanpour

Journal name:  Deep Learners and Deep Learner Descriptors for Medical Applications

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/978-3-030-42750-4_6

Volume Information: