LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection
Breast cancer ranks as the second most prevalent cancer globally and is the most frequently diagnosed cancer among women; therefore, early, automated, and precise detection is essential. Most AI-based techniques for breast cancer detection are complex and have high computational costs. Hence, to ove...
Saved in:
Main Authors: | Hari Mohan Rai, Joon Yoo, Saurabh Agarwal, Neha Agarwal |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Bioengineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5354/12/1/73 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Time Series Data Augmentation for Energy Consumption Data Based on Improved TimeGAN
by: Peihao Tang, et al.
Published: (2025-01-01) -
An improved lightweight ConvNeXt for rice classification
by: Pengtao Lv, et al.
Published: (2025-01-01) -
Quantifying the Suitability of Biosignals Acquired During Surgery for Multimodal Analysis
by: Ennio Idrobo-Avila, et al.
Published: (2024-01-01) -
Breast cancer ultrasound image segmentation using improved 3DUnet++
by: Saba Hesaraki, et al.
Published: (2025-06-01) -
Benchmark dataset on feeding intensity of the pearl gentian grouper(Epinephelus fuscoguttatus♀×E. lanceolatus♂)
by: Haijing Qin, et al.
Published: (2025-03-01)