Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning-A feasibility study.
Computer aided diagnosis (CAD) of biomedical images assists physicians for a fast facilitated tissue characterization. A scheme based on combining fuzzy logic (FL) and deep learning (DL) for automatic semantic segmentation (SS) of tumors in breast ultrasound (BUS) images is proposed. The proposed sc...
Main Authors: | Samir M Badawy, Abd El-Naser A Mohamed, Alaa A Hefnawy, Hassan E Zidan, Mohammed T GadAllah, Ghada M El-Banby |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0251899 |
Similar Items
-
Automatic Deep Learning Semantic Segmentation of Ultrasound Thyroid Cineclips Using Recurrent Fully Convolutional Networks
by: Jeremy M. Webb, et al.
Published: (2021-01-01) -
Efficient 3D Deep Learning Model for Medical Image Semantic Segmentation
by: Nasser Alalwan, et al.
Published: (2021-02-01) -
Automatic Segmentation of Ultrasound Tomography Image
by: Shibin Wu, et al.
Published: (2017-01-01) -
Automatic semantic header generator
by: Haddad, Sami Samir
Published: (1998) -
Erratum to “Automatic Segmentation of Ultrasound Tomography Image”
by: Shibin Wu, et al.
Published: (2017-01-01)