Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma
Colorectal cancer is one of the most lethal cancers because of late diagnosis and challenges in the selection of therapy options. The histopathological diagnosis of colon adenocarcinoma is hindered by poor reproducibility and a lack of standard examination protocols required for appropriate treatmen...
Main Authors: | Marco Leo, Pierluigi Carcagnì, Luca Signore, Francesco Corcione, Giulio Benincasa, Mikko O. Laukkanen, Cosimo Distante |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | AI |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-2688/5/1/16 |
Similar Items
-
An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading
by: Pierluigi Carcagnì, et al.
Published: (2023-05-01) -
ERK2 Is a Promoter of Cancer Cell Growth and Migration in Colon Adenocarcinoma
by: Alessia Parascandolo, et al.
Published: (2024-01-01) -
Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
by: Pierluigi Carcagnì, et al.
Published: (2023-02-01) -
Ocular Biometrics Recognition by Analyzing Human Exploration during Video Observations
by: Dario Cazzato, et al.
Published: (2020-06-01) -
Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions
by: Marco Leo, et al.
Published: (2022-01-01)