IVNet: Transfer Learning Based Diagnosis of Breast Cancer Grading Using Histopathological Images of Infected Cells-Reference-Cited by-同舟云学术

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IVNet: Transfer Learning Based Diagnosis of Breast Cancer Grading Using Histopathological Images of Infected Cells

Published:2023 Issue: Volume:11 Page:127880-127894
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aziz Sameen¹^ORCID,Munir Kashif¹^ORCID,Raza Ali²^ORCID,Almutairi Mubarak S.³^ORCID,Nawaz Shoaib⁴^ORCID

Affiliation:

1. Institute of Information Technology, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

2. Institute of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

3. College of Computer Science and Engineering, University of Hafr Al Batin, Hafr Alabtin, Saudi Arabia

4. University of South Asia, Lahore, Pakistan

Funder

University of Hafr Al Batin, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10316284.pdf?arnumber=10316284

Reference42 articles.

1. Classical vs. Quantum Machine Learning for Breast Cancer Detection

2. Holistically-nested edge detection in chair ergonomic detection

3. An In-Depth Review of AI-Based Techniques for Early Diagnosis of Breast Cancer: Evaluation of CAD System Design and Classification Methodologies

4. Transfer learning from pre-trained models;marcelino;Towards Data Sci,2018

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1. A Novel Transfer Learning Approach for Detection of Pomegranates Growth Stages;IEEE Access;2024

2. Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies;IEEE Access;2024

3. AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection;IEEE Access;2023

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