In addition, this study proposes a novel framework for cancer image classification that incorporates XAI models with deep learning and advanced medical imaging techniques. The proposed model integrates several techniques, including end-to-end explainable evaluation, rule-based explanation, and user-...
(XAI), "What I Know (WIK)", to provide additional information to verify the reliability of a deep learning model by showing an example of an instance in a training dataset that is similar to the input data to be inferred and demonstrate it in a remote sensing image classification task. ...
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey 来自 arXiv.org 喜欢 0 阅读量: 4 作者:R Gipikis,CW Tsai,O Kurasova 摘要: Artificial Intelligence (XAI) has found numerous applications in computer vision. While image classification-based explainability ...
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more. machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-...
The predictive performance of EWSs yields a tradeoff between sensitivity and specificity that can lead to negative outcomes for the patient. Previous work on electronic health records (EHR) trained artificial intelligence (AI) systems offers promising results with high levels of predictive performance ...
machinelearningmachine-learning-pythonexplainable-aixaishapexplainableexplainable-machine-learningglobal-shapagnostic-explainer UpdatedFeb 19, 2021 Python Code for paperhttps://arxiv.org/abs/1910.04256 deep-learninginterpretabilityexplainable UpdatedOct 11, 2019 ...
C.H. Explainable AI for medical imaging: Deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI. In Proceedings of the SPIE Medical Imaging 2020: Computer-Aided Diagnosis; International Society for Optics and Photonics: Bellingham, WA, USA, 2020; Volume 11314, p...
Explainable Artificial Intelligence-A New Step towards the Trust in Medical Diagnosis with AI Frameworks: A Review A lot of emphasis has recently been paid to the development of methods for visualizing, explaining, and interpreting deep learning models. The situation is... NM Deshpande,S Gite,BAME...
CNNs are primarily used for image classification. However, 1D-CNN models have also been highly influential in classifying tabular data40. LSTMs are highly used in sequence prediction problems41. Three types of gates are considered in LSTM: input gate, output gate, and forget gate. LSTMs have...
Papers and code of Explainable AI esp. w.r.t. Image classificiation 2013 Conference PapersTitlePaper TitleSource LinkCodeTags Visualization of CNN Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps CVPR2013 PyTorch Visualization gradient-based saliency maps...