Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion
FJP Montalbo - Biomedical Signal Processing and Control, 2021 - Elsevier
Due to the unforeseen turn of events, our world has undergone another global pandemic
from a highly contagious novel coronavirus named COVID-19. The novel virus inflames the …
from a highly contagious novel coronavirus named COVID-19. The novel virus inflames the …
LWDN: Lightweight DenseNet model for plant disease diagnosis
A Dheeraj, S Chand - Journal of Plant Diseases and Protection, 2024 - Springer
Plant disease diagnosis in smart agriculture is a crucial issue that carries substantial
economic significance on a global scale. To address this challenge, intelligent and smart …
economic significance on a global scale. To address this challenge, intelligent and smart …
Self-supervised learning for annotation efficient biomedical image segmentation
Objective: The scarcity of high-quality annotated data is omnipresent in machine learning.
Especially in biomedical segmentation applications, experts need to spend a lot of their time …
Especially in biomedical segmentation applications, experts need to spend a lot of their time …
Adaevo: Edge-assisted continuous and timely DNN model evolution for mobile devices
L Wang, Z Yu, H Yu, S Liu, Y **-Aware Optimization for Early-Stop** of Binarized Neural Networks
JY Kang, CH Ryu, SB Kang, TH Han - IEEE Access, 2023 - ieeexplore.ieee.org
One of the vital challenges for the binary neural networks (BNNs) is improving their
inference performance by expanding their data representation capabilities for figuring out …
inference performance by expanding their data representation capabilities for figuring out …