Minimize the Percentage of Noise in Biomedical Images Using Neural Networks
The overall goal of the research is to improve the quality of biomedical image for telemedicine with minimum percentages of noise in the retrieved image and to take less computation time. The novelty of this technique lies in the implementation of spectral coding for biomedical images using neural n...
Saved in:
| Main Author: | Abdul Khader Jilani Saudagar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/757146 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection
by: Saeed Ullah, et al.
Published: (2025-07-01) -
Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies
by: Abhishek Kumar, et al.
Published: (2024-08-01) -
Eff-ReLU-Net: a deep learning framework for multiclass wound classification
by: Sifat Ullah, et al.
Published: (2025-07-01) -
A CNN-Based Framework for Geometric Alignment of Historical and Satellite Imagery
by: Manaswi Kulahara, et al.
Published: (2025-01-01) -
DeepLASD countermeasure for logical access audio spoofing
by: Hamed Al-Tairi, et al.
Published: (2025-07-01)