Hybrid Deep Learning Architectures for Histological Image Segmentation-Reference-Cited by-同舟云学术

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Hybrid Deep Learning Architectures for Histological Image Segmentation

Published:2024-02-19 Issue: Volume: Page:
ISSN:
Container-title:2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
language:
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Author:

Hasan Md Jahid¹,Ahmad Wan Siti Halimatul Munirah Wan²,Ahmad Fauzi Mohammad Faizal¹,Abas Fazly Salleh³

Affiliation:

1. Multimedia University,Faculty of Engineering,Cyberjaya,Malaysia

2. Multimedia University,Center for Visual Computing, Faculty of Computing and Informatics; Faculty of Engineering,Cyberjaya,Malaysia

3. Multimedia University,Faculty of Engineering and Technology,Cyberjaya,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463165/10463194/10463355.pdf?arnumber=10463355

Reference22 articles.

1. National Academies of Sciences, National Academies of Engineering, National Academies of Medicine et al;Guiding cancer control: A path to transformation,2019

2. The use of digital pathology and image analysis in clinical trials

3. A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis

4. Nuclei Classification in ER-IHC Stained Histopathology Images using Deep Learning Models

5. Multi-Configuration Analysis of DenseNet Architecture for Whole Slide Image Scoring of ER-IHC

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Noise Resilience in Dermoscopic Image Segmentation: Comparing Deep Learning Architectures for Enhanced Accuracy;Electronics;2024-08-28

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