Feature extraction methods: a review
Feature extraction is the main core in diagnosis, classification, clustering, recognition, and
detection. Many researchers may by interesting in choosing suitable features that used in …
detection. Many researchers may by interesting in choosing suitable features that used in …
Skin cancer classification with deep learning: a systematic review
Skin cancer is one of the most dangerous diseases in the world. Correctly classifying skin
lesions at an early stage could aid clinical decision-making by providing an accurate …
lesions at an early stage could aid clinical decision-making by providing an accurate …
Federated machine learning for detection of skin diseases and enhancement of internet of medical things (IoMT) security
MN Hossen, V Panneerselvam… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Human skin disease, the most infectious dermatological ailment globally, is initially
diagnosed by sight. Some clinical screening and dermoscopic analysis of skin biopsies and …
diagnosed by sight. Some clinical screening and dermoscopic analysis of skin biopsies and …
Two systems for the detection of melanomas in dermoscopy images using texture and color features
C Barata, M Ruela, M Francisco… - IEEE systems …, 2013 - ieeexplore.ieee.org
Melanoma is one of the deadliest forms of cancer; hence, great effort has been put into the
development of diagnosis methods for this disease. This paper addresses two different …
development of diagnosis methods for this disease. This paper addresses two different …
Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms
A Masood, AA Al-Jumaily - International journal of biomedical …, 2013 - Wiley Online Library
Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …
and early detection of malignant melanoma. We review the state of the art in these systems …
Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …
benefit, as it provides significant information about the lesion, which can be of pertinence for …
Automatic diagnosis of skin diseases using convolution neural network
Skin diseases are becoming a most common health issues among all the countries
worldwide. The method proposed in this work detects four types of skin diseases using …
worldwide. The method proposed in this work detects four types of skin diseases using …
A comparative study of features selection for skin lesion detection from dermoscopic images
Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
Texture analysis and its applications in biomedical imaging: A survey
MK Ghalati, A Nunes, H Ferreira… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Texture analysis describes a variety of image analysis techniques that quantify the variation
in intensity and pattern. This paper provides an overview of several texture analysis …
in intensity and pattern. This paper provides an overview of several texture analysis …