Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches

30 April 2024

Papers citing "Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches"

6 / 6 papers shown

Title
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 75 1,427 0 17 Jul 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 45 200 0 15 Feb 2019
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 136 5,577 0 21 Jul 2017
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 272 10,149 0 16 Mar 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 416 27,231 0 02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 822 99,991 0 04 Sep 2014