Results 41 to 50 of about 5,768,673 (280)
U-net weights for brain segmentation
U-net weights for U ...
Brian Avants (418551) +1 more
core +1 more source
GAU U-Net for multiple sclerosis segmentation
Multiple sclerosis is an auto immune disease which affects the brain and nervous system. A total of 2.8 million people are estimated to live with Multiple sclerosis worldwide (35.9 per 100,000 population).
Roba Gamal, Hoda Barka, Mayada Hadhoud
doaj +1 more source
Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy.
Zhen Wang (72451) +3 more
core +1 more source
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net
Nuclei segmentation is an important step in the task of medical image analysis. Nowadays, deep learning techniques based on Convolutional Neural Networks (CNNs) have become prevalent methods in nuclei segmentation.
Wenting Duan (17157046) +1 more
core +3 more sources
Clinically Interpretable Nuclei Segmentation for Robust Histopathological Image Analysis
Background/Objectives: Accurate nuclear segmentation is a fundamental step in computational pathology, enabling reliable estimation of cellularity and nuclear morphology. However, segmentation models are typically evaluated under ideal imaging conditions,
Liana Stanescu, Cosmin Stoica Spahiu
doaj +1 more source
Accurate landslide extraction is significant for landslide disaster prevention and control. Remote sensing images have been widely used in landslide investigation, and landslide extraction methods based on deep learning combined with remote sensing ...
Hesheng Chen +7 more
doaj +1 more source
Agreement ratios between renal pathologists with and without U-Net-segmented images.
Agreement ratios between renal pathologists with and without U-Net-segmented images.
Satoshi Hara (539722) +10 more
core +1 more source
Segmentation of skin cancer using Fuzzy U-network via deep learning
The most common cancer in the world is skin cancer. In recent years, one of the most important challenges to public health has been melanoma, the most dangerous type of skin cancer. In this paper, a novel MFO-Fuzzy U net has been proposed to segmentation
A. Bindhu, K.K. Thanammal
doaj +1 more source
U-net weights for brain extraction
U-net weights for ANTsRNet-based brain ...
Nick Tustison (441144) +1 more
core +1 more source

