Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis

2017 ◽  
pp. 6-7 ◽  
Author(s):  
Vincent Christlein ◽  
Florin C. Ghesu ◽  
Tobias Würfl ◽  
Andreas Maier ◽  
Fabian Isensee ◽  
...  
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Medical Image ◽  
State Of The Art ◽  
Medical Image Analysis ◽  
The State

scholarly journals Deep Learning for Brain Tumor Segmentation: A Survey of State-of-the-Art

2021 ◽  
Vol 7 (2) ◽  
pp. 19
Author(s):  
Tirivangani Magadza ◽  
Serestina Viriri
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Brain Tumor ◽  
Quantitative Analysis ◽  
Medical Image ◽  
State Of The Art ◽  
Medical Image Analysis ◽  
Building Blocks ◽  
Tumor Segmentation ◽  
Brain Tumor Segmentation

Quantitative analysis of the brain tumors provides valuable information for understanding the tumor characteristics and treatment planning better. The accurate segmentation of lesions requires more than one image modalities with varying contrasts. As a result, manual segmentation, which is arguably the most accurate segmentation method, would be impractical for more extensive studies. Deep learning has recently emerged as a solution for quantitative analysis due to its record-shattering performance. However, medical image analysis has its unique challenges. This paper presents a review of state-of-the-art deep learning methods for brain tumor segmentation, clearly highlighting their building blocks and various strategies. We end with a critical discussion of open challenges in medical image analysis.

scholarly journals pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

2021 ◽  
Vol 198 ◽  
pp. 105796
Author(s):  
Alain Jungo ◽  
Olivier Scheidegger ◽  
Mauricio Reyes ◽  
Fabian Balsiger
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Medical Image ◽  
Medical Image Analysis ◽  
Data Handling ◽  
Python Package

scholarly journals Trends in the application of deep learning networks in medical image analysis: evolution between 2012 and 2020

2021 ◽  
pp. 110069
Author(s):  
Lu Wang ◽  
Hairui Wang ◽  
Yingna Huang ◽  
Baihui Yan ◽  
Zhihui Chang ◽  
...  
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Medical Image ◽  
Medical Image Analysis ◽  
Learning Networks

scholarly journals A survey on deep learning in medical image analysis

2017 ◽  
Vol 42 ◽  
pp. 60-88 ◽  
Author(s):  
Geert Litjens ◽  
Thijs Kooi ◽  
Babak Ehteshami Bejnordi ◽  
Arnaud Arindra Adiyoso Setio ◽  
Francesco Ciompi ◽  
...  
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Medical Image ◽  
Medical Image Analysis
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