Fig 3 -

Fig 3 -

<p>The predicted Figure, (a) original image, (b) GT (c)Unet (d) ResUNet++ (e) U-NET3+ (f) DeepLabV3+ (g)SegNet (h)Trans-Unet (i) Swin-UNet (j)HTC-Net, (k)VM-UNet and (l) EDTNet.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Dhirendra Prasad Yadav (20235097) (author)
مؤلفون آخرون: Bhisham Sharma (20235100) (author), Julian L. Webber (20235103) (author), Abolfazl Mehbodniya (11988747) (author), Shivank Chauhan (20235106) (author)
منشور في: 2024
الموضوعات:
Biotechnology
Ecology
Cancer
Mental Health
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
sorensen &# 8211
resunet ++, u
improve segmentation capabilities
facilitate symmetrical interaction
dice coefficient ).
demonstrates superior quantitative
84 %, 96
81 %, 96
27 %, 95
range spatial dependencies
diagnose lung cancer
spatial aware attention
enhanced spatial attention
edtnet achieved 96
based vision transformer
based model edtnet
spatial features
provide attention
lung lesions
based transformer
based encoders
edtnet performance
visual results
union ),
traditional cnn
suboptimal performance
small size
skip connections
several models
scan images
sampling layers
intricate details
expanding layer
diverse nature
demonstrated sensitivity
capture long
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