The Segmentation of Multiple Types of Uterine Lesions in Magnetic Resonance Images Using a Sequential Deep Learning Method with Image-Level Annotations
Y Cui, H Wang, R Cao, H Bai, D Sun, J Feng… - Journal of Imaging …, 2024 - Springer
Fully supervised medical image segmentation methods use pixel-level labels to achieve
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
[HTML][HTML] The Segmentation of Multiple Types of Uterine Lesions in Magnetic Resonance Images Using a Sequential Deep Learning Method with Image-Level …
Y Cui, H Wang, R Cao, H Bai, D Sun… - Journal of Imaging …, 2024 - ncbi.nlm.nih.gov
Fully supervised medical image segmentation methods use pixel-level labels to achieve
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
The Segmentation of Multiple Types of Uterine Lesions in Magnetic Resonance Images Using a Sequential Deep Learning Method with Image-Level Annotations.
YM Cui, HL Wang, R Cao, H Bai, D Sun… - Journal of Imaging …, 2024 - europepmc.org
Fully supervised medical image segmentation methods use pixel-level labels to achieve
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
The Segmentation of Multiple Types of Uterine Lesions in Magnetic Resonance Images Using a Sequential Deep Learning Method with Image-Level Annotations
YM Cui, HL Wang, R Cao, H Bai… - Journal of imaging …, 2024 - pubmed.ncbi.nlm.nih.gov
Fully supervised medical image segmentation methods use pixel-level labels to achieve
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
The Segmentation of Multiple Types of Uterine Lesions in Magnetic Resonance Images Using a Sequential Deep Learning Method with Image-Level Annotations.
YM Cui, HL Wang, R Cao, H Bai, D Sun… - Journal of Imaging …, 2024 - europepmc.org
Fully supervised medical image segmentation methods use pixel-level labels to achieve
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …
good results, but obtaining such large-scale, high-quality labels is cumbersome and time …