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Automatic classification of colour fundus images for prediction eye disease types based on hybrid features
A Shamsan, EM Senan, HSA Shatnawi - Diagnostics, 2023 - mdpi.com
Early detection of eye diseases is the only solution to receive timely treatment and prevent
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …
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 …
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 facial feature image analysis for early detection of autism spectrum disorder based on combined CNN features
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
[HTML][HTML] A systematic review on deep learning based methods for cervical cell image analysis
Cervical cytology image analysis is indispensable for the detection of abnormal cervical
cells. Traditionally, manual screening is time-consuming and labor-intensive. Therefore, a lot …
cells. Traditionally, manual screening is time-consuming and labor-intensive. Therefore, a lot …
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 …
Enhancing computer-aided cervical cancer detection using a novel fuzzy rank-based fusion
Cervical cancer is a severe and pervasive disease that poses a significant health threat to
women globally. The Pap smear test is an efficient and effective method for detecting …
women globally. The Pap smear test is an efficient and effective method for detecting …
Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models
Skin cancer is one of the most fatal skin lesions, capable of leading to fatality if not detected
in its early stages. The characteristics of skin lesions are similar in many of the early stages …
in its early stages. The characteristics of skin lesions are similar in many of the early stages …
Multi-method diagnosis of histopathological images for early detection of breast cancer based on hybrid and deep learning
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 …
of BC leads to death, so early diagnosis is essential for saving lives. There are many …
From pixels to prognosis: a survey on AI-driven cancer patient survival prediction using digital histology images
Survival analysis is an integral part of medical statistics that is extensively utilized to
establish prognostic indices for mortality or disease recurrence, assess treatment efficacy …
establish prognostic indices for mortality or disease recurrence, assess treatment efficacy …