Deep Learning-based Dermatological Condition Detection: A Systematic Review with Recent Methods, Datasets, Challenges and Future Directions
Dermatological conditions are a global health concern affecting all age groups. They
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …
Machine learning methods in skin disease recognition: a systematic review
Skin lesions affect millions of people worldwide. They can be easily recognized based on
their typically abnormal texture and color but are difficult to diagnose due to similar …
their typically abnormal texture and color but are difficult to diagnose due to similar …
Deep learning approach for stages of severity classification in diabetic retinopathy using color fundus retinal images
Diabetes is a very fast‐growing disease in India, with currently more than 72 million patients.
Prolonged diabetes (about almost 20 years) can cause serious loss to the tiny blood vessels …
Prolonged diabetes (about almost 20 years) can cause serious loss to the tiny blood vessels …
[HTML][HTML] An in-depth analysis of Convolutional Neural Network architectures with transfer learning for skin disease diagnosis
Low contrasts and visual similarity between different skin conditions make skin disease
recognition a challenging task. Current techniques to detect and diagnose skin disease …
recognition a challenging task. Current techniques to detect and diagnose skin disease …
A lightweight deep convolutional neural network model for skin cancer image classification
Deep learning models, particularly transformers and convolutional neural networks (CNNs),
have been commonly used to achieve high classification accuracy for image data. Since …
have been commonly used to achieve high classification accuracy for image data. Since …
Classification of skin lesions by incorporating drop-block and batch normalization layers in representative CNN models
Due to increased exposure to severe environmental elements and an aging population, the
prevalence of skin cancer has been progressively rising in recent decades. When the type of …
prevalence of skin cancer has been progressively rising in recent decades. When the type of …
Real-time face mask detection using machine learning/deep feature-based classifiers for face mask recognition
S Reddy, S Goel, R Nijhawan - 2021 IEEE Bombay Section …, 2021 - ieeexplore.ieee.org
In this research, we put forward an architecture that combines recent deep learning
algorithms with geometry techniques to create robust models that can handle aspects like …
algorithms with geometry techniques to create robust models that can handle aspects like …
Analysis of brain tumor using pre-trained CNN models and machine learning techniques
D Kaur, S Goel, R Nijhawan… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
A brain tumor is a life-threatening illness that disrupts the human body's natural functioning.
Early detection of brain tumors is important for an accurate diagnosis and successful …
Early detection of brain tumors is important for an accurate diagnosis and successful …
Real Time Analysis of Diabetic Retinopathy Lesions by Employing Deep Learning and Machine Learning Algorithms using Color Fundus Data
Diabetes is a rapidly spreading illness that has devastating consequences on human
organs such as kidney, lungs, heart, eyes, etc. Diabetic Retinopathy (DR) is a condition …
organs such as kidney, lungs, heart, eyes, etc. Diabetic Retinopathy (DR) is a condition …
Classification of apple leaf diseases using distinct machine learning algorithms
Early diagnosis and identification of plant leaf disease are important for long-term agriculture
and maximum yield production. Deep Learning has developed as a powerful computing …
and maximum yield production. Deep Learning has developed as a powerful computing …