Explainable Soft Attentive EfficientNet for breast cancer classification in histopathological images

Author:

Peta Jyothi,Koppu SrinivasORCID

Funder

University of Nottingham

British Council

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference39 articles.

1. From blackbox to explainable AI in healthcare: existing tools and case studies;Srinivasu;Mob. Inf. Syst.,2022

2. Convolutional neural networks for the evaluation of cancer in Barrett’s esophagus: Explainable AI to lighten up the black-box;de Souza Jr.;Comput. Biol. Med.,2021

3. Explainable AI for bioinformatics: Methods, tools, and applications;Karim,2022

4. Explainable artificial intelligence reveals novel insight into tumor microenvironment conditions linked with better prognosis in patients with breast cancer;Chakraborty;Cancers,2021

5. Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022);Loh;Comput. Methods Programs Biomed.,2022

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1. Advancements in Histopathologic Cancer Detection: A Deep Learning Odyssey;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11

2. Exploring DeepDream and XAI Representations for Classifying Histological Images;SN Computer Science;2024-03-29

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