Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Hongjian, Ogasawara, Katsuhiko
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525184/ https://www.ncbi.nlm.nih.gov/pubmed/37760173 http://dx.doi.org/10.3390/bioengineering10091070

Ejemplares similares

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
por: Livieris, Ioannis E., et al.
Publicado: (2023)

Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds
por: Sobahi, Nebras, et al.
Publicado: (2022)

Optimized Dropkey-Based Grad-CAM: Toward Accurate Image Feature Localization
por: Liu, Yiwei, et al.
Publicado: (2023)

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

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
por: Kolekar, Suresh, et al.
Publicado: (2022)

Explainable Artificial Intelligence in Endocrinological Medical Research
por: Webb-Robertson, Bobbie-Jo M
Publicado: (2021)

Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset
por: Umair, Muhammad, et al.
Publicado: (2021)

COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
por: Hamza, Ameer, et al.
Publicado: (2022)

Temperatur-Weltrekord: Vier Billionen Grad
Publicado: (2010)

Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification
por: Ghnemat, Rawan, et al.
Publicado: (2023)

A demystifying convolutional neural networks using Grad-CAM for prediction of coronavirus disease (COVID-19) on X-ray images
por: Aravinda, C.V., et al.
Publicado: (2021)

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
por: Amann, Julia, et al.
Publicado: (2022)

Causability and explainability of artificial intelligence in medicine
por: Holzinger, Andreas, et al.
Publicado: (2019)

Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability
por: Coeckelbergh, Mark
Publicado: (2019)

Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
por: Zhang, Yiming, et al.
Publicado: (2022)

VODCA: Verification of Diagnosis Using CAM-Based Approach for Explainable Process Monitoring †
por: Oh, Cheolhwan, et al.
Publicado: (2020)

GradTac: Spatio-Temporal Gradient Based Tactile Sensing
por: Ganguly, Kanishka, et al.
Publicado: (2022)

The World of Stable Ribonucleoproteins and Its Mapping With Grad-Seq and Related Approaches
por: Gerovac, Milan, et al.
Publicado: (2021)

Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
por: Fellous, Jean-Marc, et al.
Publicado: (2019)

Artificial intelligence explainability: the technical and ethical dimensions
por: McDermid, John A., et al.
Publicado: (2021)

Explainable Artificial Intelligence for Predictive Modeling in Healthcare
por: Yang, Christopher C.
Publicado: (2022)

Value attributed to text-based archives generated by artificial intelligence
por: Darda, Kohinoor, et al.
Publicado: (2023)

Editorial: Explainable artificial intelligence for critical healthcare applications
por: He, Zhe, et al.
Publicado: (2023)

Cognitive Difficulties and Health-Related Quality of Life in Sarcoidosis: An Analysis of the GRADS Cohort
por: Hoth, Karin F., et al.
Publicado: (2022)

A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images
por: Panwar, Harsh, et al.
Publicado: (2020)

The effect of microwave frequency and grad B on the ECR heating
por: Koivisto, H
Publicado: (1999)

MSU grad's physics rap YouTube hit
Publicado: (2008)

Lifts of Symmetric Tensors: Fluids, Plasma, and Grad Hierarchy
por: Esen, Oğul, et al.
Publicado: (2019)

Global gene network exploration based on explainable artificial intelligence approach
por: Park, Heewon, et al.
Publicado: (2020)

Designing an Interpretability-Based Model to Explain the Artificial Intelligence Algorithms in Healthcare
por: Ennab, Mohammad, et al.
Publicado: (2022)

Explainable vs. interpretable artificial intelligence frameworks in oncology
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Beauty is in the explainable artificial intelligence (XAI) of the “agnostic” beholder
por: Laios, Alexandros, et al.
Publicado: (2023)

Adaptive Aquila Optimizer with Explainable Artificial Intelligence-Enabled Cancer Diagnosis on Medical Imaging
por: Alkhalaf, Salem, et al.
Publicado: (2023)

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
por: Amann, Julia, et al.
Publicado: (2020)

Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
por: Lombardi, Angela, et al.
Publicado: (2021)

Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease
por: Lee, Kwang-Sig, et al.
Publicado: (2022)

Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening
por: Sakai, Akira, et al.
Publicado: (2022)

zGrad is a nanobody-based degron system that inactivates proteins in zebrafish
por: Yamaguchi, Naoya, et al.
Publicado: (2019)

GPTZero Performance in Identifying Artificial Intelligence-Generated Medical Texts: A Preliminary Study
por: Habibzadeh, Farrokh
Publicado: (2023)

Grad student's physics rap a YouTube hit
Publicado: (2008)

Cannot write session to /tmp/vufind_sessions/sess_47cahuhbs9o9c7aiv0i1nkqe3i