Grad-CAM-Based Explainable Artificial Intelligence Related to Medical Text Processing

Grad-CAM-Based Explainable Artificial Intelligence Related to Medical Text Processing

The opacity of deep learning makes its application challenging in the medical field. Therefore, there is a need to enable explainable artificial intelligence (XAI) in the medical field to ensure that models and their results can be explained in a manner that humans can understand. This study uses a...

Full description

Bibliographic Details
Main Authors:	Hongjian Zhang, Katsuhiko Ogasawara
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Series:	Bioengineering
Subjects:	explainable artificial intelligence (XAI) text processing Grad-CAM ResNet
Online Access:	https://www.mdpi.com/2306-5354/10/9/1070

Similar Items

Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
by: Mohamed Musthafa M, et al.
Published: (2024-05-01)

Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model With Explainable MobileNet Models Using Grad-CAM++
by: Luyl-Da Quach, et al.
Published: (2024-01-01)

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
by: Ioannis E. Livieris, et al.
Published: (2023-10-01)

Advanced grad-CAM extensions for interpretable aphasia speech keyword classification: Bridging the gap in impaired speech with XAI
by: Gowri Prasood Usha, et al.
Published: (2024-12-01)

Towards Explainable Deep Neural Networks for the Automatic Detection of Diabetic Retinopathy
by: Hanan Saleh Alghamdi
Published: (2022-09-01)

Explainable AI for Interpretation of Ovarian Tumor Classification Using Enhanced ResNet50
by: Srirupa Guha, et al.
Published: (2024-07-01)

AdvancingTire Safety: Explainable Artificial Intelligence-Powered Foreign Object Defect Detection with Xception Networks and Grad-CAM Interpretation
by: Radhwan A. A. Saleh, et al.
Published: (2024-05-01)

Explainable AI in Scene Understanding for Autonomous Vehicles in Unstructured Traffic Environments on Indian Roads Using the Inception U-Net Model with Grad-CAM Visualization
by: Suresh Kolekar, et al.
Published: (2022-12-01)

Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture
by: Luyl-Da Quach, et al.
Published: (2023-01-01)

An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM
by: Nikolaos I. Papandrianos, et al.
Published: (2022-07-01)

A novel framework for rosacea detection using Swin Transformers and explainable artificial intelligence
by: Anjali T, et al.
Published: (2025-04-01)

Adaptation of Grad-CAM Method to Neural Network Architecture for LiDAR Pointcloud Object Detection
by: Daniel Dworak, et al.
Published: (2022-06-01)

Classification of PRPD Pattern in Cast- Resin Transformers Using CNN and Implementation of Explainable AI (XAI) With Grad-CAM
by: Ho-Seung Kim, et al.
Published: (2024-01-01)

An Explainable AI Paradigm for Alzheimer’s Diagnosis Using Deep Transfer Learning
by: Tanjim Mahmud, et al.
Published: (2024-02-01)

Harnessing ResNet50 and SENet for enhanced ankle fracture identification
by: Hua Wang, et al.
Published: (2024-04-01)

Weakly-Supervised Segmentation-Based Quantitative Characterization of Pulmonary Cavity Lesions in CT Scans
by: Wenyu Xing, et al.
Published: (2024-01-01)

Research on Image Feature Extraction and Environment Inference Based on Invariant Learning
by: Yujian Ding, et al.
Published: (2024-11-01)

Online inspection of blackheart in potatoes using visible-near infrared spectroscopy and interpretable spectrogram-based modified ResNet modeling
by: Yalin Guo, et al.
Published: (2024-06-01)

Explainable artificial intelligence models for enhancing classification reliability of ground weapon systems
by: Gimin Bae, et al.
Published: (2023-12-01)

Explainable artificial intelligence models for enhancing classification reliability of ground weapon systems
by: Gimin Bae, et al.
Published: (2023-12-01)

Explainable AI (XAI) Techniques for Convolutional Neural Network-Based Classification of Drilled Holes in Melamine Faced Chipboard
by: Alexander Sieradzki, et al.
Published: (2024-08-01)

An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System
by: Krishna Mridha, et al.
Published: (2023-01-01)

Detection of sickle cell disease using deep neural networks and explainable artificial intelligence
by: Goswami Neelankit Gautam, et al.
Published: (2024-04-01)

Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet
by: Burak Taşcı
Published: (2023-02-01)

Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence
by: Sardar Mehboob Hussain, et al.
Published: (2022-06-01)

Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning
by: Osman Tayfun Bişkin, et al.
Published: (2025-02-01)

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy
by: Kimji N. Pellano, et al.
Published: (2025-01-01)

Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Suxing Liu, et al.
Published: (2024-01-01)

NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM
by: Nicola Altini, et al.
Published: (2022-09-01)

Bearing Fault Diagnosis Using Grad-CAM and Acoustic Emission Signals
by: JaeYoung Kim, et al.
Published: (2020-03-01)

CNN-Based Classification of Optically Critical Cutting Tools with Complex Geometry: New Insights for CNN-Based Classification Tasks
by: Mühenad Bilal, et al.
Published: (2025-03-01)

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
by: Kimji N. Pellano, et al.
Published: (2024-03-01)

Transformative Transparent Hybrid Deep Learning Framework for Accurate Cataract Detection
by: Julius Olaniyan, et al.
Published: (2024-11-01)

Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
by: Khaleque Insia, et al.
Published: (2023-12-01)

Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
by: Tim Hulsen
Published: (2023-08-01)

COVID-19 Detection Algorithm Combining Grad-CAM and Convolutional Neural Network
by: ZHU Bingyu, LIU Zhen, ZHANG Jingxiang
Published: (2022-09-01)

Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis
by: C. R. Dhivyaa, et al.
Published: (2024-01-01)

Unveiling the black box: A systematic review of Explainable Artificial Intelligence in medical image analysis
by: Dost Muhammad, et al.
Published: (2024-12-01)

The Usefulness of Gradient-Weighted CAM in Assisting Medical Diagnoses
by: Jong-Chih Chien, et al.
Published: (2022-08-01)

Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam
by: Yogesh Kumaran S, et al.
Published: (2024-07-01)