Attention-based Skin Cancer Classification Through Hyperspectral Imaging
Author:
Affiliation:
1. University of Pavia,Department of Electrical Computer and Biomedical Engineering,Pavia,Italy
2. Universidad de Las Palmas de Gran Canaria Las Palmas de Gran Canaria,Institute for Applied Microelectronics (IUMA),Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9996588/9996595/09996878.pdf?arnumber=9996878
Reference17 articles.
1. Hyperspectral Anomaly Detection Using Deep Learning: A Review
2. Atypical moles: diagnosis and management;perkins;Am Fam Physician,2015
3. Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance
4. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
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1. Preliminary Hyperspectral Characterization of Tissue-Mimicking Breast Phantoms;2024 IEEE MTT-S International Microwave Biomedical Conference (IMBioC);2024-06-11
2. Edge and cloud computing approaches in the early diagnosis of skin cancer with attention-based vision transformer through hyperspectral imaging;The Journal of Supercomputing;2024-04-10
3. Acceleration of Hyperspectral Skin Cancer Image Classification through Parallel Machine-Learning Methods;Sensors;2024-02-21
4. An Attention-Based Parallel Algorithm for Hyperspectral Skin Cancer Classification on Low-Power GPUs;2023 26th Euromicro Conference on Digital System Design (DSD);2023-09-06
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