Attention mechanisms for fine-grained biomedical image analysis
<p><b>Problem:</b> Recently, deep convolutional neural networks have greatly improved our ability to develop robust image analysis methods, especially those tailored to biomedical scenarios. Despite important advances in computer vision, it is usually challenging to achieve the sam...
Main Author: | Fan, M |
---|---|
Other Authors: | Rittscher, J |
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: |
Similar Items
-
Biomedical Image Analysis by Program "Vision Assistant" and "Labview"
by: Peter Izak, et al.
Published: (2005-01-01) -
Biomedical imaging /
by: Mudry, Karen M., et al.
Published: (2003) -
Biomedical microwave-induced thermoacoustic imaging
by: Qiang Liu, et al.
Published: (2022-07-01) -
OBIA: An Open Biomedical Imaging Archive
by: Enhui Jin, et al.
Published: (2023-10-01) -
Computational intelligence in biomedical imaging /
by: Suzuki, Kenji
Published: (2014)