DeepAI
Log In Sign Up

A Survey on Domain Knowledge Powered Deep Learning for Medical Image Analysis

04/25/2020
by   Xiaozheng Xie, et al.
0

Although deep learning models like CNNs have achieved a great success in medical image analysis, small-sized medical datasets remain to be the major bottleneck in this area. To address this problem, researchers start looking for external information beyond the current available medical datasets. Traditional approaches generally leverage the information from natural images. More recent works utilize the domain knowledge from medical doctors, by letting networks either resemble how they are trained, mimic their diagnostic patterns, or focus on the features or areas they particular pay attention to. In this survey, we summarize the current progress on introducing medical domain knowledge in deep learning models for various tasks like disease diagnosis, lesion, organ and abnormality detection, lesion and organ segmentation. For each type of task, we systematically categorize different kinds of medical domain knowledge that have been utilized and the corresponding integrating methods. We end with a summary of challenges, open problems, and directions for future research.

READ FULL TEXT

page 5

page 19

page 20

page 21

page 22

page 23

page 24

page 25

05/27/2021

Recent advances and clinical applications of deep learning in medical image analysis

Deep learning has become the mainstream technology in computer vision, a...
02/18/2021

Domain Adaptation for Medical Image Analysis: A Survey

Machine learning techniques used in computer-aided medical image analysi...
03/12/2019

Parallel Medical Imaging: A New Data-Knowledge-Driven Evolutionary Framework for Medical Image Analysis

There has been much progress in data-driven artificial intelligence tech...
02/10/2022

Deep Learning for Computational Cytology: A Survey

Computational cytology is a critical, rapid-developing, yet challenging ...
10/07/2019

A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis

Fully automatic deep learning has become the state-of-the-art technique ...
12/12/2020

Multiple Sclerosis Lesion Segmentation – A Survey of Supervised CNN-Based Methods

Lesion segmentation is a core task for quantitative analysis of MRI scan...
10/30/2010

Lesion Border Detection in Dermoscopy Images

Background: Dermoscopy is one of the major imaging modalities used in th...