A systematic review of deep learning based image segmentation to detect polyp
Among the world's most common cancers, colorectal cancer is the third most severe form of
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …
URNet: An UNet-based model with residual mechanism for monocular depth estimation
HT Duong, HM Chen, CC Chang - Electronics, 2023 - mdpi.com
Autonomous vehicle systems rely heavily upon depth estimation, which facilitates the
improvement of precision and stability in automated decision-making systems. Noteworthily …
improvement of precision and stability in automated decision-making systems. Noteworthily …
Review of Medical Image Segmentation Algorithms Based on U-Net Variants.
C Ke, T Qichuan - Journal of Computer Engineering & …, 2024 - search.ebscohost.com
The simple and efficient network structure of U-Net is widely used in medical image
segmentation, and many scholars have made various researches on the U-Net structure …
segmentation, and many scholars have made various researches on the U-Net structure …
Medical Image Segmentation by Improved Nested Unet
Deep learning is revolutionizing the field of medical image segmentation. The U-shaped
(Unet) model, with its encoder-decoder architecture and skip connections, has become the …
(Unet) model, with its encoder-decoder architecture and skip connections, has become the …
Automated Colony Detection: Evaluating U-Net Models with DenseNet Backbone
SJ Burgdorf, T Roddelkopf… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The manual analysis of bacterial colonies in microbiology is time-consuming and prone to
errors. Automated solutions can support scientific staff and enable more efficient processes …
errors. Automated solutions can support scientific staff and enable more efficient processes …
Automated colony detection in fluorescent images using U-Net models
B Simon-Johannes, R Thomas… - 2024 IEEE 22nd World …, 2024 - ieeexplore.ieee.org
The manual analysis of bacterial colonies in microbiology is time-consuming and prone to
errors. Automated solutions can assist scientific staff and enable fully automated processes …
errors. Automated solutions can assist scientific staff and enable fully automated processes …
Automated Deep Learning Models for the Analysis of Biological Microscopy Images
A Haja - 2024 - research.rug.nl
Recent advances in artificial intelligence (AI) and deep learning are having a tremendous
impact on diverse application domains. It would be surprising if the domain of digital …
impact on diverse application domains. It would be surprising if the domain of digital …
Computer Analysis of Lumbar Spine Magnetic Resonance Imaging Scans via Neural Network Algorithms
V Kushnikov, O Dolinina, A Selyutin… - … Artificial Intelligence in …, 2022 - Springer
The paper contains a comparative analysis of the computer methods of the lumbar spine
investigation. The authors suggest a method of computer analysis of the lumbar spine …
investigation. The authors suggest a method of computer analysis of the lumbar spine …