Decoding skin cancer classification: perspectives, insights, and advances through researchers' lens
Skin cancer is a significant global health concern, with timely and accurate diagnosis
playing a critical role in improving patient outcomes. In recent years, computer-aided …
playing a critical role in improving patient outcomes. In recent years, computer-aided …
Enhancing skin disease classification leveraging transformer-based deep learning architectures and explainable ai
Skin diseases affect over a third of the global population, yet their impact is often
underestimated. Automating skin disease classification to assist doctors with their prognosis …
underestimated. Automating skin disease classification to assist doctors with their prognosis …
A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L2CNN-BCDet)
Artificial intelligence (AI) technologies have vastly improved. AI is now being used in a
variety of applications to diagnose Breast Cancer (BC). However, most of the recent …
variety of applications to diagnose Breast Cancer (BC). However, most of the recent …
Genetic Algorithm Optimized Stacking Approach to Skin Disease Detection
Detection and treatment of skin diseases is a complicated process as there are about 3000
skin diseases [39]. This adds complexity to the process of diagnosing skin diseases …
skin diseases [39]. This adds complexity to the process of diagnosing skin diseases …
EMDA-Net: Earth Mover's Distance (EMD) influenced Attention-aided Neural Network for Medical Image Classification
S Majumder, K Mallick, W Pal… - 2024 IEEE 6th …, 2024 - ieeexplore.ieee.org
Medical image analysis methods need to be more generalized in order to meet the
substantial problems associated with cancer detection and treatment, including skin …
substantial problems associated with cancer detection and treatment, including skin …
A Survey of Machine Learning and Deep Learning Techniques for Classifying Dermatoscopic Images for Skin Cancer Prediction
P Aswini, V Revathi, K Pithamber - 2024 7th International …, 2024 - ieeexplore.ieee.org
One of the most common and deadly types of cancer is skin cancer. It is becoming
increasingly common in today's environment as a result of our regular exposure to …
increasingly common in today's environment as a result of our regular exposure to …
EDB-Net: An Edge-Guided Dual-Branch Neural Network for Skin Cancer Classification
Skin cancer poses a serious global health challenge, where timely and precise diagnosis is
essential to improve patient outcomes. Recently, neural networks have proven to be highly …
essential to improve patient outcomes. Recently, neural networks have proven to be highly …
Enhancing Skin Disease Diagnosis with a Dual Vision Transformer Model
An increasing number of people are experiencing skin problems, and it is never easy for a
clinician to make a correct diagnosis. One potential solution to these problems is the use of …
clinician to make a correct diagnosis. One potential solution to these problems is the use of …
DermAI: An Innovative AI-Driven Chatbot for Enhanced Dermatological Diagnosis and Patient Interaction
Skin disorders constitute a noteworthy public health concern globally, with earnest impacts
on both physical and mental well-being. However, effective dermatological care faces …
on both physical and mental well-being. However, effective dermatological care faces …
Growing with the Help of Multiple Teachers: Lightweight and Noise-Resistant Student Model for Medical Image Classification
Y Song, J Wang, Y Ge, Z Liao, P Lan, J Guo… - Chinese Conference on …, 2024 - Springer
In recent years, the development of medical imaging technology has transformed imaging
solutions from laboratory-based to point-of-care imaging with real-time capabilities …
solutions from laboratory-based to point-of-care imaging with real-time capabilities …