Application and performance of artificial intelligence (AI) in oral cancer diagnosis and prediction using histopathological images: a systematic review

SB Khanagar, L Alkadi, MA Alghilan, S Kalagi… - Biomedicines, 2023 - mdpi.com
Oral cancer (OC) is one of the most common forms of head and neck cancer and continues
to have the lowest survival rates worldwide, even with advancements in research and …

Deep learning in oral cancer-a systematic review

K Warin, S Suebnukarn - BMC Oral Health, 2024 - Springer
Background Oral cancer is a life-threatening malignancy, which affects the survival rate and
quality of life of patients. The aim of this systematic review was to review deep learning (DL) …

Oral squamous cell carcinoma detection using EfficientNet on histopathological images

E Albalawi, A Thakur, MT Ramakrishna… - Frontiers in …, 2024 - frontiersin.org
Introduction Oral Squamous Cell Carcinoma (OSCC) poses a significant challenge in
oncology due to the absence of precise diagnostic tools, leading to delays in identifying the …

Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features

M Al-Jabbar, M Alshahrani, EM Senan, IA Ahmed - Bioengineering, 2023 - mdpi.com
Lung and colon cancer are among humanity's most common and deadly cancers. In 2020,
there were 4.19 million people diagnosed with lung and colon cancer, and more than 2.7 …

Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas

D Giraldo‐Roldan, ECC Ribeiro… - Journal of Oral …, 2023 - Wiley Online Library
Background Odontogenic tumors (OT) are composed of heterogeneous lesions, which can
be benign or malignant, with different behavior and histology. Within this classification …

Automated detection and classification of oral squamous cell carcinoma using deep neural networks

B Ananthakrishnan, A Shaik, S Kumar, SO Narendran… - Diagnostics, 2023 - mdpi.com
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …

Hybrid techniques for diagnosing endoscopy images for early detection of gastrointestinal disease based on fusion features

Z Ghaleb Al-Mekhlafi… - … Journal of Intelligent …, 2023 - Wiley Online Library
Gastrointestinal (GI) diseases, particularly tumours, are considered one of the most
widespread and dangerous diseases and thus need timely health care for early detection to …

Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas

M Hamdi, EM Senan, ME Jadhav, F Olayah, B Awaji… - Diagnostics, 2023 - mdpi.com
Malignant lymphoma is one of the most severe types of disease that leads to death as a
result of exposure of lymphocytes to malignant tumors. The transformation of cells from …

Analysis of histopathological images for early diagnosis of oral squamous cell carcinoma by hybrid systems based on CNN fusion features

IA Ahmed, EM Senan… - International Journal of …, 2023 - Wiley Online Library
Oral squamous cell carcinoma (OSCC) is one of the deadliest and most common types of
cancer. The incidence of OSCC is increasing annually, which requires early diagnosis to …

Multi-method diagnosis of histopathological images for early detection of breast cancer based on hybrid and deep learning

M Al-Jabbar, M Alshahrani, EM Senan, IA Ahmed - Mathematics, 2023 - mdpi.com
Breast cancer (BC) is a type of cancer suffered by adult females worldwide. A late diagnosis
of BC leads to death, so early diagnosis is essential for saving lives. There are many …