A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms
Breast cancer poses lots of challenges in the medical fraternity worldwide. Hence, it requires early diagnosis to treat the affected people. In this paper, we have presented a novel Dilated Convolution Light Weight Neural Network (DCLW-NN) to analyze the breast thermograms. Convolutional Neural Netw...
Saved in:
| Main Authors: | S. Malathi, A. Shenbagavalli, N. Sriraam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11008627/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dibutylsulfide oxidation research the concentrated hydrogen peroxide solution by means of thermograms
by: L. R. Gaynullina, et al.
Published: (2019-06-01) -
A Deep Learning-Driven CAD for Breast Cancer Detection via Thermograms: A Compact Multi-Architecture Feature Strategy
by: Omneya Attallah
Published: (2025-06-01) -
NN Kostyukova
by: article Editorial
Published: (2020-07-01) -
Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions
by: Ankita Dey, et al.
Published: (2023-01-01) -
Real-Time Super Resolution Utilizing Dilation and Depthwise Separable Convolution
by: Che-Cheng Chang, et al.
Published: (2025-04-01)