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Computer-Aided Intelligent Diagnosis of Skin Melanoma

This book is intended primarily for researchers, engineers, and graduate students in the fields of medicine management and software engineering in the field of dermatology. Aiming at the problems of color deviation, structured noise interference, and uneven distribution of feature points in the iden...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Guo, Shuli (Egilea), Song, Xiaowei (Egilea), Han, Lina (Egilea)
Erakunde egilea: SpringerLink (Online service)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edizioa:1st ed. 2025.
Gaiak:
Biomedical engineering.
Image processing > Digital techniques.
Computer vision.
Medical and Health Technologies.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Sarrera elektronikoa:https://doi.org/10.1007/978-981-96-6135-0
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • Introduction
  • Color correction based on gamma correction and multi-scale image fusion
  • Hair removal from dermoscopic images based on maximum variance fuzzy clustering and improved Criminisi algorithm
  • Hair removal from dermoscopic images based on texture spectrum iterative tensor voting and optimized total variation algorithm
  • Dermoscopic image registration based on adaptive SURF feature extraction and weighted nuclear norm minimization fusion.

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