Deep learning for medical image-based cancer diagnosis

X Jiang, Z Hu, S Wang, Y Zhang - Cancers, 2023 - mdpi.com
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Applications and techniques of machine learning in cancer classification: A systematic review

A Yaqoob, R Musheer Aziz, NK verma - Human-Centric Intelligent Systems, 2023 - Springer
The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …

Exploring the ethical considerations of using Chat GPT in university education

JJ Huallpa - Periodicals of Engineering and Natural Sciences, 2023 - pen.ius.edu.ba
This study investigates the moral dilemmas that arise with incorporating Chat GPT into
higher education, with a focus on the situation in Latinoamerican institutions of higher …

A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection

SK Khare, V Blanes‐Vidal, BB Booth… - … : Data Mining and …, 2024 - Wiley Online Library
Early diagnosis of abnormal cervical cells enhances the chance of prompt treatment for
cervical cancer (CrC). Artificial intelligence (AI)‐assisted decision support systems for …

Analysis of WSI images by hybrid systems with fusion features for early diagnosis of cervical cancer

M Hamdi, EM Senan, B Awaji, F Olayah, ME Jadhav… - Diagnostics, 2023 - mdpi.com
Cervical cancer is one of the most common types of malignant tumors in women. In addition,
it causes death in the latter stages. Squamous cell carcinoma is the most common and …

[HTML][HTML] Identification of druggable hub genes and key pathways associated with cervical cancer by protein-protein interaction analysis: An in silico study

A Asadzadeh, N Ghorbani, K Dastan - International Journal of …, 2023 - ncbi.nlm.nih.gov
Background The uncontrolled growth of abnormal cells in the cervix leads to cervical cancer
(CC), the fourth most common gynecologic cancer. So far, many studies have been …

Unsupervised nested Dirichlet finite mixture model for clustering

F Alkhawaja, N Bouguila - Applied Intelligence, 2023 - Springer
The Dirichlet distribution is widely used in the context of mixture models. Despite its
flexibility, it still suffers from some limitations, such as its restrictive covariance matrix and its …

G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping

J Cheng, T Stathaki - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
This paper proposes a novel task named" 3D part grouping". Suppose there is a mixed set
containing scattered parts from various shapes. This task requires algorithms to find out …

DPD-Net: Dual-path Proposal Discriminative Network for abnormal cell detection in cervical cytology images

S Chai, J Xin, J Wu, H Yu, Z Liang, Y Ma… - … Signal Processing and …, 2024 - Elsevier
Cytology inspection is a basic examination for the prevention of cervical cancer, which is still
done manually and is a labor-intensive and time-consuming process with high inter …

[PDF][PDF] Detection of heart pathology using deep learning methods.

A Naizagarayeva, G Abdikerimova… - International Journal of …, 2023 - academia.edu
In the directions of modern medicine, a new area of processing and analysis of visual data is
actively developing-a radio municipality-a computer technology that allows you to deeply …