Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …
researchers have shown an increasing interest in developing computer-aided diagnosis …
Performance analysis of melanoma early detection using skin lession classification system
RSS Sundar, M Vadivel - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Melanoma has been proved to be very tedious and statistical analysis which provides the
majority of deaths occurs from skin cancer. The earlier detection and treatment is the best …
majority of deaths occurs from skin cancer. The earlier detection and treatment is the best …
Skin Cancer Prediction Using Deep Learning Techniques
RR Sekar, YJM Reddy, K Nani… - 2023 4th …, 2023 - ieeexplore.ieee.org
Skin cancer is the one of ten most common cancer types in the world. The abnormal growth
of skin cells most often develops on the skin exposed to the sun. Skin cancer occurs when …
of skin cells most often develops on the skin exposed to the sun. Skin cancer occurs when …
Early diagnosis and predictive monitoring of skin diseases
NJ Dhinagar, M Celenk - 2016 IEEE Healthcare Innovation …, 2016 - ieeexplore.ieee.org
Skin diseases like melanoma are traditionally screened by a visual analysis of key features,
such as the pigmentation and vascularity of the region of interest. Monitoring the changes of …
such as the pigmentation and vascularity of the region of interest. Monitoring the changes of …
Classification of non-tumorous facial pigmentation disorders using improved SMOTE and transfer learning
Classification of non-tumorous facial pigmentation disorders is an important but overlooked
problem. Recently, a voting-based probabilistic linear discriminant analysis (V-PLDA) …
problem. Recently, a voting-based probabilistic linear discriminant analysis (V-PLDA) …
Skin Cancer Diagnosis and Medical Service System Based on Deep Learning Models
Y Chen, J Deng, T Wang - 2022 3rd International Conference …, 2022 - ieeexplore.ieee.org
Skin cancer is a kind of common disease that seriously does harm to peoples' life quality,
and its diagnosis is of great importance. This paper aims to apply a Convolutional Neural …
and its diagnosis is of great importance. This paper aims to apply a Convolutional Neural …
[PDF][PDF] Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review. Diagnostics 2021, 11, 1390
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …
researchers have shown an increasing interest in developing computer-aided diagnosis …
Skin lesion image classification using convolutional neural network
L Syafa'ah, I Hanami, IR Sofiani… - … Electronics, and Control, 2021 - kinetik.umm.ac.id
Classification of skin cancer is an important task to detect skin cancer and help with the
treatment of skin cancer according to its type. There are many techniques in imaging used to …
treatment of skin cancer according to its type. There are many techniques in imaging used to …
[图书][B] Morphological Change Monitoring of Skin Lesions for Early Melanoma Detection
NJ Dhinagar - 2018 - search.proquest.com
Abstract Changes in the morphology of a skin lesion is indicative of melanoma, a deadly
type of skin cancer. This dissertation proposes a temporal analysis method to monitor the …
type of skin cancer. This dissertation proposes a temporal analysis method to monitor the …