Computer-aided diagnosis of skin cancer: a review

N Razmjooy, M Ashourian, M Karimifard… - Current medical …, 2020 - ingentaconnect.com
Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …

Intelligent fusion-assisted skin lesion localization and classification for smart healthcare

MA Khan, K Muhammad, M Sharif, T Akram… - Neural Computing and …, 2024 - Springer
With the rapid development of information technology, the conception of smart healthcare
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …

Classification of melanoma and nevus in digital images for diagnosis of skin cancer

MQ Khan, A Hussain, SU Rehman, U Khan… - IEEE …, 2019 - ieeexplore.ieee.org
Melanoma is considered a fatal type of skin cancer. However, it is sometimes hard to
distinguish it from nevus due to their identical visual appearance and symptoms. The …

Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification

S Chatterjee, D Dey, S Munshi - Computer methods and programs in …, 2019 - Elsevier
Background and objective Skin cancer is the commonest form of cancer in the worldwide
population. Non-invasive and non-contact imaging modalities are being used for the …

An automated skin melanoma detection system with melanoma-index based on entropy features

KH Cheong, KJW Tang, X Zhao, JEW Koh… - Biocybernetics and …, 2021 - Elsevier
Skin melanoma is a potentially life-threatening cancer. Once it has metastasized, it may
cause severe disability and death. Therefore, early diagnosis is important to improve the …

Enhanced deep bottleneck transformer model for skin lesion classification

K Nakai, YW Chen, XH Han - Biomedical Signal Processing and Control, 2022 - Elsevier
Background and objectives: Skin cancer is the most common cancer worldwide, and therein
the malignant melanoma may lead to less than 5-year life expectancy. Via early-stage …

Entropy-based breast cancer detection in digital mammograms using world cup optimization algorithm

N Razmjooy, VV Estrela, HJ Loschi - Research anthology on medical …, 2023 - igi-global.com
Breast cancer is one of the deadliest cancers for women. Early detection of skin cancer gives
a high chance for the women to escape from the malady and obtain a cure at the initial …

Extraction of abnormal skin lesion from dermoscopy image using VGG-SegNet

S Kadry, D Taniar, R Damaševičius… - … conference on Bio …, 2021 - ieeexplore.ieee.org
Skin is one of the vital and well-known sensory organs in human physiology and due to
various reasons, the abnormality in skin arises. Skin Melanoma (SM) is one of the medical …

Extraction of tumour in breast MRI using joint thresholding and segmentation–A study

S Kadry, R Damaševičius, D Taniar… - … conference on Bio …, 2021 - ieeexplore.ieee.org
Breast Cancer (BC) is one of the harsh conditions, which largely affects the women group.
Due to its significance, a range of procedures are available for premature detection and …

Serial attention network for skin lesion segmentation

Y Ren, L Yu, S Tian, J Cheng, Z Guo… - Journal of Ambient …, 2022 - Springer
Due to the influence of color, boundaries, and shapes of melanoma, the segmentation of the
lesion area is still a challenging problem. In this paper, we propose a method to connect two …