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Updated: Jul 2, 2026

Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment

Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment

Published on: August 18, 2023

An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm.

Hitoshi Iyatomi¹, Hiroshi Oka, M Emre Celebi

¹Department of Electronic Informatics, Hosei University Faculty of Engineering, Japan. iyatomi@hosei.ac.jp

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society

|August 16, 2008

Summary

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Skin Cancer

Skin Cancer

Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...

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This study introduces an internet-based system for melanoma screening. The system accurately analyzes dermoscopy images to distinguish between melanoma and nevus, aiding early detection.

Area of Science:

Dermatology
Medical Imaging
Artificial Intelligence

Background:

Melanoma is a serious skin cancer requiring early detection.
Dermoscopy images are crucial for accurate melanoma diagnosis.
Automated screening systems can improve accessibility and efficiency.

Purpose of the Study:

To develop and evaluate an Internet-based system for melanoma screening.
To assess the accuracy of an automated tumor area extraction and classification algorithm.

Main Methods:

Developed a web server for global access to the melanoma screening system.
Implemented a dermatologist-like algorithm for tumor area extraction from dermoscopy images.
Calculated 428 tumor features and used a neural network classifier for diagnosis.

Related Experiment Videos

Last Updated: Jul 2, 2026

Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment

Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment

Published on: August 18, 2023

Main Results:

The system achieved a sensitivity of 85.9% and a specificity of 86.0%.
Performance was validated on a dataset of 1258 dermoscopy images using cross-validation.

Conclusions:

The developed Internet-based system demonstrates high accuracy in melanoma screening.
This technology has the potential to enhance early skin cancer detection globally.