DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification
M Zafar, J Amin, M Sharif, MA Anjum, GA Mallah… - Mathematics, 2023 - mdpi.com
The development of abnormal cell growth is caused by different pathological alterations and
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
A comparative study of melanoma skin cancer detection in traditional and current image processing techniques
Skin cancer is a major health issue in the present day especially melanoma skin cancer. In
general most of the skin cancers are cured if they are detectedin the early stage. With the …
general most of the skin cancers are cured if they are detectedin the early stage. With the …
Comparative analysis of skin cancer prediction using neural networks and transfer learning
S Das, D Gangodkar, R Singh, P Vijay… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
The skin is the body's outermost layer, concealing/covering many physical organs, muscles,
and other innumerable bodily parts. The research found that the body's exposure to …
and other innumerable bodily parts. The research found that the body's exposure to …
Deep Learning Models for Skin Cancer Classification Across Diverse Color Spaces: Comprehensive Analysis
Color space plays an important role in various aspects of imaging tasks. However, in deep
learning-based computer vision, the RGB color model is predominantly employed. This …
learning-based computer vision, the RGB color model is predominantly employed. This …
Skin cancer classification using CNN in comparison with support vector machine for better accuracy
S Likhitha, R Baskar - … on System Modeling & Advancement in …, 2022 - ieeexplore.ieee.org
Using the Convolutional Neural Network (CNN) algorithm to perform unique classification of
skin cancer and evaluating the performance of the SVM approach. n this research work, skin …
skin cancer and evaluating the performance of the SVM approach. n this research work, skin …
Early detection of melanoma using convolutional neural network and random forest algorithm
V Nandhini, B Shivashnee… - 2023 9th International …, 2023 - ieeexplore.ieee.org
The detection melanoma is so difficult to identify and is the most severe of all skin diseases,
skin cancer. When all other types of skin cancer are compared side by side, melanoma is …
skin cancer. When all other types of skin cancer are compared side by side, melanoma is …
Comparative analysis of skin cancer prediction using neural networks and transfer learning
AA Kumar, MVK Reddy, VM Sanjay… - 2022 8th …, 2022 - ieeexplore.ieee.org
The skin is the external component of the body that hides/covers various biological organs,
muscles, and countless body components. According to the study, the leading cause of skin …
muscles, and countless body components. According to the study, the leading cause of skin …
Deep Learning-Based Classification of Dermoscopic Images for Skin Lesions
AF Sönmez, S Çakar, F Cerezci… - … of Computer and …, 2023 - saucis.sakarya.edu.tr
Skin cancer has emerged as a grave health concern leading to significant mortality rates.
Diagnosis of this disease traditionally relies on specialist dermatologists who interpret …
Diagnosis of this disease traditionally relies on specialist dermatologists who interpret …
Skin Cancer Lesion Analysis of Carcinoma and Melanoma Using Deep Learning Model
M Eswaran, P Balasubramanie… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Skin cancer is a deadly disease. Melanoma is a fatal type of cancer. It is treatable if
diagnosed earlier. Benign cancers may be treated, however malignant tumors cannot. Early …
diagnosed earlier. Benign cancers may be treated, however malignant tumors cannot. Early …
Early Detection and Diagnosis of Oral Cancer Using Fusioned Deep Neural Network
In recent days, oral cancer cases are significantly increasing due to increase in tobacco
consumption, along with the combination of consumption of alcohol, poor oral hygiene, and …
consumption, along with the combination of consumption of alcohol, poor oral hygiene, and …