Self-supervised multi-task learning for medical image analysis
H Yu, Q Dai - Pattern Recognition, 2024 - Elsevier
Deep learning is crucial for preliminary screening and diagnostic assistance based on
medical image analysis. However, limited annotated data and complex anatomical …
medical image analysis. However, limited annotated data and complex anatomical …
[HTML][HTML] A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization
Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …
[HTML][HTML] A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization
Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …
[HTML][HTML] Boosted dipper throated optimization algorithm-based Xception neural network for skin cancer diagnosis: An optimal approach
X Tang, FR Sheykhahmad - Heliyon, 2024 - cell.com
Skin cancer is a prevalent form of cancer that necessitates prompt and precise detection.
However, current diagnostic methods for skin cancer are either invasive, time-consuming, or …
However, current diagnostic methods for skin cancer are either invasive, time-consuming, or …
A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self …
AI-driven precision agriculture applications can benefit from the large data source that
remote sensing (RS) provides, as it can gather agricultural monitoring data at various scales …
remote sensing (RS) provides, as it can gather agricultural monitoring data at various scales …
Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer …
O Attallah - Computers in Biology and Medicine, 2024 - Elsevier
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
[HTML][HTML] Enhancing Skin Lesion Detection: A Multistage Multiclass Convolutional Neural Network-Based Framework
The early identification and treatment of various dermatological conditions depend on the
detection of skin lesions. Due to advancements in computer-aided diagnosis and machine …
detection of skin lesions. Due to advancements in computer-aided diagnosis and machine …
Visualization and Classification of Mushroom Species with Multi-feature Fusion of Metaheuristics-based Convolutional Neural Network Model
E Özbay, FA Özbay, FS Gharehchopogh - Applied Soft Computing, 2024 - Elsevier
Determining the correct mushroom species with the necessary ecological characteristics is
critical to continue mushroom production, which is essential in gastronomy. The mushroom …
critical to continue mushroom production, which is essential in gastronomy. The mushroom …
[HTML][HTML] An effective multiclass skin cancer classification approach based on deep convolutional neural network
EH Houssein, DA Abdelkareem, G Hu, MA Hameed… - Cluster …, 2024 - Springer
Skin cancer is one of the most dangerous types of cancer due to its immediate appearance
and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly …
and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly …
[HTML][HTML] A hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning
Skin cancer can be detected through visual examination and confirmed through
dermoscopic analysis and various diagnostic tests. This is because visual observation …
dermoscopic analysis and various diagnostic tests. This is because visual observation …