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 …
A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection
Hemorrhagic stroke poses a critical medical emergency that necessitates prompt and
accurate diagnosis to prevent irreversible brain damage. The emergence of automated deep …
accurate diagnosis to prevent irreversible brain damage. The emergence of automated deep …
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 …
Automated ischemic acute infarction detection using pre-trained CNN models' deep features
B Tasci - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Background Cerebrovascular Diseases (CVD) constitute more than 50% of
neurological diseases requiring hospital treatment. Stroke is a type of disease that causes …
neurological diseases requiring hospital treatment. Stroke is a type of disease that causes …
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 …
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 …
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 …
An efficient framework to detect intracranial hemorrhage using hybrid deep neural networks
Intracranial hemorrhage (ICH) is a serious medical condition that necessitates a prompt and
exhaustive medical diagnosis. This paper presents a multi-label ICH classification issue with …
exhaustive medical diagnosis. This paper presents a multi-label ICH classification issue with …
[HTML][HTML] A novel machine learning-based feature extraction method for classifying intracranial hemorrhage computed tomography images
One of the most serious forms of brain stroke is intracranial hemorrhage (ICH). When an
artery bursts, the brain and the tissue around the artery start bleeding. This study proposes a …
artery bursts, the brain and the tissue around the artery start bleeding. This study proposes a …
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 …