Semi-Supervised Adversarial Transfer Learning for Automated Skin Lesion Segmentation-Reference-Cited by-同舟云学术

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Semi-Supervised Adversarial Transfer Learning for Automated Skin Lesion Segmentation

Published:2024-01-29 Issue: Volume:20 Page:1-6
ISSN:
Container-title:2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)
language:
Short-container-title:

Author:

Bishnoi Ashish¹,Kannagi A²,Acharjya Kalyan³

Affiliation:

1. Teetthanker Mahaveer University,Department of Computing Sciences and Information Technology,Moradabad,Uttar Pradesh,India

2. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,India

3. Maharishi School of Engineering & Technology, Maharishi University of Information Technology,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470457/10470444/10470627.pdf?arnumber=10470627

Reference17 articles.

1. Estimation analysis of paralysis effects for human nervous system by using Neuro fuzzy logic controller;Ramesh;NeuroQuantology,2022

2. Cooperative Spectrum Sensing with Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks

3. A smart design of a multi-dimensional antenna to enhance the maximum signal clutch to the allowable standards in 5G communication networks;Logeshwaran;ICTACT Journal on Microelectronics,2022

4. Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features

5. Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation

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