Early Diagnosis of Endometrial Cancer: An Ensemble-Based Deep Learning Approach-Reference-Cited by-同舟云学术

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Early Diagnosis of Endometrial Cancer: An Ensemble-Based Deep Learning Approach

Published:2024-02-24 Issue: Volume:9 Page:1-7
ISSN:
Container-title:2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
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Author:

Swarnkar Bhawna¹,Maheshwari Parag¹,Khare Nilay¹,Gyanchandani Manasi¹

Affiliation:

1. CSE,MANIT,Bhopal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10481805/10481679/10482128.pdf?arnumber=10482128

Reference19 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods

3. Computer-Aided Diagnosis in Histopathological Images of the Endometrium Using a Convolutional Neural Network and Attention Mechanisms

4. Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides

5. Class-Aware Image Search for Interpretable Cancer Identification

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