[HTML][HTML] New trends in melanoma detection using neural networks: a systematic review

D Popescu, M El-Khatib, H El-Khatib, L Ichim - Sensors, 2022 - mdpi.com
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …

[HTML][HTML] Linknet-b7: Noise removal and lesion segmentation in images of skin cancer

C Akyel, N Arıcı - Mathematics, 2022 - mdpi.com
Skin cancer is common nowadays. Early diagnosis of skin cancer is essential to increase
patients' survival rate. In addition to traditional methods, computer-aided diagnosis is used in …

[HTML][HTML] A Survey on Computer-Aided Intelligent Methods to Identify and Classify Skin Cancer

JP Jeyakumar, A Jude, AG Priya, J Hemanth - Informatics, 2022 - mdpi.com
Melanoma is one of the skin cancer types that is more dangerous to human society. It easily
spreads to other parts of the human body. An early diagnosis is necessary for a higher …

[HTML][HTML] A novel approach for skin lesion symmetry classification with a deep learning model

L Talavera-Martínez, P Bibiloni, A Giacaman… - Computers in biology …, 2022 - Elsevier
Skin cancer has become a public health problem due to its increasing incidence. However,
the malignancy risk of the lesions can be reduced if diagnosed at an early stage. To do so, it …

SLDCNet: Skin lesion detection and classification using full resolution convolutional network‐based deep learning CNN with transfer learning

PBS Varma, S Paturu, S Mishra, BS Rao… - Expert …, 2022 - Wiley Online Library
Background Skin cancer is one of the life threating diseases in the world. So, millions of lives
can be saved by early detection of skin cancer. In addition, automating the computer‐aided …

[HTML][HTML] Squeeze-mnet: Precise skin cancer detection model for low computing IOT devices using transfer learning

RK Shinde, MS Alam, MB Hossain, S Md Imtiaz, JH Kim… - Cancers, 2022 - mdpi.com
Simple Summary Skin cancer is a life-threatening condition. It is difficult to diagnose in its
early stages; therefore, we proposed an easy-to-use telemedicine device to tackle skin …

Hair removal in dermoscopy images using variational autoencoders

D Bardou, H Bouaziz, L Lv… - Skin Research and …, 2022 - Wiley Online Library
Background In recent years, melanoma is rising at a faster rate compared to other cancers.
Although it is the most serious type of skin cancer, the diagnosis at early stages makes it …

Hairlines removal and low contrast enhancement of melanoma skin images using convolutional neural network with aggregation of contextual information

R Kaur, H GholamHosseini, R Sinha - Biomedical Signal Processing and …, 2022 - Elsevier
Skin cancer image preprocessing in dermoscopic images is a fundamental yet challenging
task in designing highly efficient computerized diagnostic systems. The presence of hairlines …

[HTML][HTML] Comparison of Three Deep Learning Models in Accurate Classification of 770 Dermoscopy Skin Lesion Images

A Adebiyi, P Rao, J Hirner, A Anokhin… - AMIA Summits on …, 2024 - ncbi.nlm.nih.gov
Accurately determining and classifying different types of skin cancers is critical for early
diagnosis. In this work, we propose a novel use of deep learning for classification of benign …

Hair removal and lesion segmentation with fcn8-resnetc and image processing in images of skin cancer

C Akyel, N Arıcı - Bilişim Teknolojileri Dergisi, 2022 - dergipark.org.tr
Skin cancer is quite common. Early detection is crucial for the treatment of skin cancer.
Methods based on computer technology (deep learning, image processing) are now …