A Multimodal Auxiliary Classification System for Osteosarcoma Histopathological Images Based on Deep Active Learning
Histopathological examination is an important criterion in the clinical diagnosis of osteosarcoma. With the improvement of hardware technology and computing power, pathological image analysis systems based on artificial intelligence have been widely used. However, classifying numerous intricate path...
Main Authors: | Fangfang Gou, Jun Liu, Jun Zhu, Jia Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Healthcare |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9032/10/11/2189 |
Similar Items
-
Osteosarcoma MRI Image-Assisted Segmentation System Base on Guided Aggregated Bilateral Network
by: Yedong Shen, et al.
Published: (2022-03-01) -
AI-Assisted Diagnosis and Decision-Making Method in Developing Countries for Osteosarcoma
by: Haojun Tang, et al.
Published: (2022-11-01) -
Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
by: Md. Abul Ala Walid, et al.
Published: (2023-10-01) -
Different Subtypes of Osteosarcoma: Histopathological Patterns and Clinical Behaviour
by: Emel Rothzerg, et al.
Published: (2023-05-01) -
A study of auxiliary screening for Alzheimer’s disease based on handwriting characteristics
by: Hengnian Qi, et al.
Published: (2023-03-01)