A survey on deep learning for skin lesion segmentation

Z Mirikharaji, K Abhishek, A Bissoto, C Barata… - Medical Image …, 2023 - Elsevier
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment

C Zhang, J Xu, R Tang, J Yang, W Wang, X Yu… - Journal of Hematology & …, 2023 - Springer
Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

Skin Cancer Detection and Classification Using Neural Network Algorithms: A Systematic Review

P Hermosilla, R Soto, E Vega, C Suazo, J Ponce - Diagnostics, 2024 - mdpi.com
In recent years, there has been growing interest in the use of computer-assisted technology
for early detection of skin cancer through the analysis of dermatoscopic images. However …

Image analysis in advanced skin imaging technology

L Bi, ME Celebi, H Iyatomi… - … and programs in …, 2023 - pubmed.ncbi.nlm.nih.gov
Image analysis in advanced skin imaging technology Image analysis in advanced skin
imaging technology Comput Methods Programs Biomed. 2023 Aug:238:107599. doi …

Analysis of Skin Lesions for Cancer Detection Using Convolutional Neural Networks

K Korsak, M Hernes, E Walaszczyk… - 2023 13th …, 2023 - ieeexplore.ieee.org
Cancer was Poland's second leading cause of death in 2021. The average five-year survival
rate of patients with skin cancer in Poland is around 70%, much lower than in other countries …

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis

L Lebrat, RS Cruz, R Chierchia, Y Arzhaeva… - arXiv preprint arXiv …, 2023 - arxiv.org
Wound management poses a significant challenge, particularly for bedridden patients and
the elderly. Accurate diagnostic and healing monitoring can significantly benefit from …

TLR-Net: Transfer Learning in Residual U-Net for Enhancing Skin Lesion Segmentation

A RP, J Zacharias - Proceedings of the Fourteenth Indian Conference on …, 2023 - dl.acm.org
Skin lesion semantic segmentation is a critical task in dermatology, aiding early diagnosis
and treatment of skin disorders, including melanoma and other forms of skin cancer …

TBPGen: A Novel Artificial Total Body Photography Generator for Deep Learning Based Model Training in the Detection and Segmentation of Multiple Skin Lesions

E Sagdic - 2024 - search.proquest.com
The early detection and accurate segmentation of skin lesions play a critical role in
enhancing treatment outcomes for skin cancer patients. The need for advanced tools is …