A feature-enhanced network for stroke lesion segmentation from brain MRI images
Z Wu, X Zhang, F Li, S Wang, J Li - Computers in Biology and Medicine, 2024 - Elsevier
Accurate and expeditious segmentation of stroke lesions can greatly assist physicians in
making accurate medical diagnoses and administering timely treatments. However, there …
making accurate medical diagnoses and administering timely treatments. However, there …
[HTML][HTML] Insights and Considerations in Development and Performance Evaluation of Generative Adversarial Networks (GANs): What Radiologists Need to Know
JT Yoon, KM Lee, JH Oh, HG Kim, JW Jeong - Diagnostics, 2024 - mdpi.com
The rapid development of deep learning in medical imaging has significantly enhanced the
capabilities of artificial intelligence while simultaneously introducing challenges, including …
capabilities of artificial intelligence while simultaneously introducing challenges, including …
Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network
R Alshawi, MM Ferdaus, M Abdelguerfi, K Niles… - arXiv preprint arXiv …, 2024 - arxiv.org
Imbalanced datasets are a significant challenge in real-world scenarios. They lead to
models that underperform on underrepresented classes, which is a critical issue in …
models that underperform on underrepresented classes, which is a critical issue in …
SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes
R Alshawi, MM Ferdaus, MT Hoque, K Niles… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces Semantic Haar-Adaptive Refined Pyramid Network (SHARP-Net), a
novel architecture for semantic segmentation. SHARP-Net integrates a bottom-up pathway …
novel architecture for semantic segmentation. SHARP-Net integrates a bottom-up pathway …