[HTML][HTML] Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Lung cancer (LC) remains a leading cause of death worldwide. Early diagnosis is critical to
protect innocent human lives. Computed tomography (CT) scans are one of the primary …
protect innocent human lives. Computed tomography (CT) scans are one of the primary …
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study
Skin cancer is considered a dangerous type of cancer with a high global mortality rate.
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …
Automatic base-model selection for white blood cell image classification using meta-learning
E Rivas-Posada, MI Chacon-Murguia - Computers in Biology and Medicine, 2023 - Elsevier
Healthcare has benefited from the implementation of deep-learning models to solve medical
image classification tasks. For example, White Blood Cell (WBC) image analysis is used to …
image classification tasks. For example, White Blood Cell (WBC) image analysis is used to …
Computer aided diagnosis of melanoma using deep neural networks and game theory: application on dermoscopic images of skin lesions
Early detection of melanoma remains a daily challenge due to the increasing number of
cases and the lack of dermatologists. Thus, AI-assisted diagnosis is considered as a …
cases and the lack of dermatologists. Thus, AI-assisted diagnosis is considered as a …
Advancements in skin cancer classification: a review of machine learning techniques in clinical image analysis
Early detection of skin cancer from skin lesion images using visual inspection can be
challenging. In recent years, research in applying deep learning models to assist in the …
challenging. In recent years, research in applying deep learning models to assist in the …
Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
Facial expression recognition (FER) is advancing human-computer interaction, especially,
today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional …
today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional …
Computer-Aided diagnosis for early signs of skin diseases using multi types feature fusion based on a hybrid deep learning model
According to medical reports and statistics, skin diseases have millions of victims worldwide.
These diseases might affect the health and life of patients and increase the costs of …
These diseases might affect the health and life of patients and increase the costs of …
Dermatopathology of malignant melanoma in the era of artificial intelligence: a single institutional experience
The application of artificial intelligence (AI) algorithms in medicine could support diagnostic
and prognostic analyses and decision making. In the field of dermatopathology, there have …
and prognostic analyses and decision making. In the field of dermatopathology, there have …
PCA: progressive class-wise attention for skin lesions diagnosis
Skin cancer is the most prevalent type of cancer worldwide. Early detection is essential as it
could be fatal at later stages. The classification of skin lesions is challenging since there are …
could be fatal at later stages. The classification of skin lesions is challenging since there are …
Computational Intelligence‐Based Melanoma Detection and Classification Using Dermoscopic Images
Melanoma is a kind of skin cancer caused by the irregular development of pigment‐
producing cells. Since melanoma detection efficiency is limited to different factors such as …
producing cells. Since melanoma detection efficiency is limited to different factors such as …