Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation
Abstract Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detection being critical to improving patient outcomes. Recent advancements in deep learning have shown promise in enhancing diagnostic accuracy, particularly through the use of Convolutional Neural...
Saved in:
| Main Authors: | Vahiduddin Shariff, Chiranjeevi Paritala, Krishna Mohan Ankala |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-98731-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving person re-identification based on two-stage training of convolutional neural networks and augmentation
by: S. A. Ihnatsyeva, et al.
Published: (2023-03-01) -
Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques
by: Shihui Li, et al.
Published: (2025-04-01) -
Toxic and infectious lung injury differential diagnosis specifics in oncohematological patients
by: V. R. Yanbukhtina, et al.
Published: (2023-05-01) -
The Impact of Training Strategies on Overfitting in Vowel Classification Using PS-HFCC Parametrization for Automatic Speech Recognition
by: Stanislaw GMYREK, et al.
Published: (2025-08-01) -
Adjacent Inputs With Different Labels and Hardness in Supervised Learning
by: Sebastian A. Grillo, et al.
Published: (2021-01-01)