Saliency|driven explainable deep learning in medical imaging

Saliency-driven explainable deep learning in medical imaging

In this paper, we proposed an image-based saliency framework to enhance the explainability of deep learning models in medical image analysis.

(PDF) Saliency-driven explainable deep learning in medical imaging

In the literature, much of the research on attribution in medical imaging focuses on visual inspection rather than statistical quantitative ...

Explainable AI in medical imaging: An overview for clinical ...

Among the AI methods, Deep Learning (DL) has proven significant success in the field of computer vision, enabling promising solutions to medical-related image ...

Peer Review reports - BioData Mining

Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis

Saliency-driven explainable deep learning in medical imaging ...

AbstractDeep learning shows great promise for medical image analysis but often lacks explainability, hindering its adoption in healthcare.

Explainable Deep Learning Models in Medical Image Analysis - PMC

Keywords: explainability, explainable AI, XAI, deep learning, medical imaging, diagnosis ... saliency maps to visualize the image features. Both the convolutional ...

Quantitative evaluation of Saliency-Based Explainable artificial ...

Explainable Artificial Intelligence (XAI) is prominent in the diagnostics of opaque deep learning (DL) models, especially in medical imaging. Saliency ...

Quantitative evaluation of Saliency-Based Explainable artificial ...

Explainable Artificial Intelligence (XAI) is prominent in the diagnostics of opaque deep learning (DL) models, especially in medical imaging. Saliency methods ...

Explainable Deep Learning for Medical Imaging Models through ...

We propose a novel explainability technique called “Class Specific Semantic Dictionaries”. This extends saliency mapping and feature visualisation methods.

How to choose the right visual explainability methods for medical ...

Saliency-driven explainable deep ...

Explainable Deep Learning Methods in Medical Image Classification

DeepExplain [6] is a framework that implements perturbation and gradient-based attribution methods, including Saliency Maps [132], Gradient * ...

Explainable Deep Learning Methods in Medical Image Classification

The authors consider two types of interpretability: (i) perceptive interpretability, where the saliency methods are included, and (ii) interpretability by ...

Explainable Deep Learning Models in Medical Imaging - EasyChair

fostering trust in AI-driven medical diagnostics and facilitating their integration into healthcare systems. The findings will provide ...

Assessing the Trustworthiness of Saliency Maps for Localizing ...

A variety of saliency map techniques used to interpret deep neural networks trained on medical imaging did not pass several key criteria for ...

Explainable Deep Learning Models in Medical Image Analysis

Quantifying Explainability of Saliency Methods in Deep Neural Networks. Erico Tjoa, Cuntai Guan. 2020, arXiv.org. Connected Papers · S2 logo ...

Explainable AI in medical imaging: An overview for clinical ...

∙ Lakshminarayanan, V. Explainable Deep Learning Models in Medical Image Analysis ... Image Classification Models and Saliency Maps ...

[PDF] Explainable Deep Learning Models in Medical Image Analysis

A review of the current applications of explainable deep learning for different medical imaging tasks is presented here. Deep learning methods have been ...

Explainable medical imaging AI needs human-centered design

Transparency in Machine Learning (ML), often also referred to as interpretability or explainability, attempts to reveal the working ...

(PDF) Explainable artificial intelligence (XAI) in deep learning-based ...

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis ... using saliency maps in medical imaging is shown ...

Explainable AI in medical imaging - https ://ris.utwen te.nl

Lakshminarayanan, Explainable Deep Learning Models in. Medical Image Analysis, Art. ... Physicians to Explore and Understand Data-Driven, AI- ...