AI techniques of dermoscopy image analysis for the early detection of skin lesions based on combined CNN features
Melanoma is one of the deadliest types of skin cancer that leads to death if not diagnosed
early. Many skin lesions are similar in the early stages, which causes an inaccurate …
early. Many skin lesions are similar in the early stages, which causes an inaccurate …
Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
Early diagnosis of oral squamous cell carcinoma based on histopathological images using deep and hybrid learning approaches
Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …
Multi-techniques for analyzing x-ray images for early detection and differentiation of pneumonia and tuberculosis based on hybrid features
An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits.
One of the most important methods for identifying and diagnosing pneumonia and …
One of the most important methods for identifying and diagnosing pneumonia and …
Hybrid techniques for diagnosis with WSIs for early detection of cervical cancer based on fusion features
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …
Automatic Analysis of MRI Images for Early Prediction of Alzheimer's Disease Stages Based on Hybrid Features of CNN and Handcrafted Features
A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Alzheimer's disease (AD) is considered one of the challenges facing health care in the
modern century; until now, there has been no effective treatment to cure it, but there are …
modern century; until now, there has been no effective treatment to cure it, but there are …
Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features
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 …
there were 4.19 million people diagnosed with lung and colon cancer, and more than 2.7 …
Multi-Models of Analyzing Dermoscopy Images for Early Detection of Multi-Class Skin Lesions Based on Fused Features
Melanoma is a cancer that threatens life and leads to death. Effective detection of skin lesion
types by images is a challenging task. Dermoscopy is an effective technique for detecting …
types by images is a challenging task. Dermoscopy is an effective technique for detecting …
Impact of image enhancement methods on lung disease diagnosis using x-ray images
P Bhardwaj, A Kaur - International Journal of Information Technology, 2023 - Springer
Nowadays, Lung disease is the most common and fatal disease around the world. It causes
patients to experience shortening of breath, fever, and fatigue. Generally, lung disease can …
patients to experience shortening of breath, fever, and fatigue. Generally, lung disease can …
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 …
widespread and dangerous diseases and thus need timely health care for early detection to …