[HTML][HTML] Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
[HTML][HTML] Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning
Intracranial hemorrhaging is considered a type of disease that affects the brain and is very
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
[HTML][HTML] Hybrid techniques of analyzing mri images for early diagnosis of brain tumours based on hybrid features
Brain tumours are considered one of the deadliest tumours in humans and have a low
survival rate due to their heterogeneous nature. Several types of benign and malignant brain …
survival rate due to their heterogeneous nature. Several types of benign and malignant brain …
[HTML][HTML] Multi-method analysis of histopathological image for early diagnosis of oral squamous cell carcinoma using deep learning and hybrid techniques
Simple Summary The research aimed to address the challenges in the early diagnosis of
Oral Squamous Cell Carcinoma (OSCC), a critical concern given its high fatality rate and …
Oral Squamous Cell Carcinoma (OSCC), a critical concern given its high fatality rate and …
[HTML][HTML] 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 …