Predicting Pathological Complete Response in Breast Cancer from CT Images: An Integrated Pretrained Convolutional Neural Network and Machine Learning Framework-Reference-Cited by-同舟云学术

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Predicting Pathological Complete Response in Breast Cancer from CT Images: An Integrated Pretrained Convolutional Neural Network and Machine Learning Framework

Published:2024-03-15 Issue: Volume:9 Page:302-307
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
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Author:

Ahmed Azhar¹,Maurya Awadhesh Kumar²,Kumar Neeraj³,Latoria Akhilesh⁴,Kumar Rakesh⁵,Singh J.N⁶

Affiliation:

1. KCC Institutes,Department of Information Technology,Greater Noida,India

2. IET Dr Rammnohar Lohia Avadh University,Department of Information Technology,Ayodhya,India

3. Raj Kumar Goel Institute of Technology,Department of Computer Science (AI & ML),Ghaziabad,India

4. School of Information Technology, AURO UNIVERSITY,Surat,India

5. Magadh University,Department of Computer Science and I.T,Bodh Gaya,India

6. Galgotias University,Department of Computer Science,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489338.pdf?arnumber=10489338

Reference15 articles.

1. Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer

2. Identification of ovarian mass through ultrasound images using machine learning techniques;Pathak,2016

3. A Comprehensive Study of XSS Attack and the Digital Forensic Models to Gather the Evidence

4. Capacitated Vehicle Routing Problem Using Algebraic Particle Swarm Optimization with Simulated Annealing Algorithm

5. Identification and Analysis of Breast Cancer Disease using Swarm and Evolutionary Algorithm

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