Semantic Segmentation in Medical Image Based on Hybrid Dlinknet and Unet-Reference-Cited by-同舟云学术

Semantic Segmentation in Medical Image Based on Hybrid Dlinknet and Unet

Published:2022-11-04 Issue: Volume: Page:
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Container-title:2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
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Author:

Samudrala Suresh¹,Mohan C. Krishna²

Affiliation:

1. Indian Institute of Technology Hyderabad (IIT Hyderabad),Department of Computer Science and Engineering,India

2. Indian Institute of Technology Hyderabad (IIT Hyderabad),Department of Computer Science and Engineering & Dean (Public and Corporate Relations),India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037246/10037222/10037693.pdf?arnumber=10037693

Reference18 articles.

1. Multi-scale fully convolutional network for gland segmentation using three-class classification

2. Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation

3. A Stochastic Polygons Model for Glandular Structures in Colon Histology Images

4. Deep Learning in Image Classification using Residual Network (ResNet) Variants for Detection of Colorectal Cancer

5. Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features

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