Endoscopic Image Classification Based on Explainable Deep Learning
Deep learning has achieved remarkably positive results and impacts on medical diagnostics in recent years. Due to its use in several proposals, deep learning has reached sufficient accuracy to implement; however, the algorithms are black boxes that are hard to understand, and model decisions are oft...
Main Authors: | Doniyorjon Mukhtorov, Madinakhon Rakhmonova, Shakhnoza Muksimova, Young-Im Cho |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/6/3176 |
Similar Items
-
An Improved Method of Polyp Detection Using Custom YOLOv4-Tiny
by: Mukhtorov Doniyorjon, et al.
Published: (2022-10-01) -
Classification of Skin Cancer Lesions Using Explainable Deep Learning
by: Muhammad Zia Ur Rehman, et al.
Published: (2022-09-01) -
Explainable Deep Learning Models in Medical Image Analysis
by: Amitojdeep Singh, et al.
Published: (2020-06-01) -
Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification
by: Rawan Ghnemat, et al.
Published: (2023-08-01) -
SignExplainer: An Explainable AI-Enabled Framework for Sign Language Recognition With Ensemble Learning
by: Deep R. Kothadiya, et al.
Published: (2023-01-01)