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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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Related Experiment Video

Updated: Mar 2, 2026

The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression

The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression

Published on: August 3, 2011

Melanoma Is Skin Deep: A 3D Reconstruction Technique for Computerized Dermoscopic Skin Lesion Classification.

T Y Satheesha¹, D Satyanarayana², M N Giri Prasad³

¹Electronics and Communication Engineering DepartmentNagarjuna College of Engineering and Technology.

IEEE Journal of Translational Engineering in Health and Medicine

|May 18, 2017

Summary

This study introduces a non-invasive computerized dermoscopy system that uses 3-D reconstruction to estimate skin lesion depth. This method significantly improves the accuracy of diagnosing melanoma and other skin cancers.

Keywords:

3D features and tumor depth estimation 3D lesion reconstruction Melanoma in-situ classification skin lesions

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Last Updated: Mar 2, 2026

The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression

The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression

Published on: August 3, 2011

A 3D Organotypic Melanoma Spheroid Skin Model

A 3D Organotypic Melanoma Spheroid Skin Model

Published on: May 18, 2018

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

Area of Science:

Dermatology
Medical Imaging
Computer Vision

Background:

Melanoma has the highest mortality rate among skin cancers.
Accurate diagnosis is crucial as melanoma becomes life-threatening when it invades deeper skin layers.
Depth is a critical diagnostic factor for melanoma.

Purpose of the Study:

To introduce a non-invasive computerized dermoscopy system for skin lesion diagnosis.
To utilize estimated lesion depth and 3-D reconstruction for improved diagnostic accuracy.
To diagnose various skin lesions including melanoma, basal cell carcinoma, and others.

Main Methods:

Developed a 3-D skin lesion reconstruction technique from dermoscopic images.
Extracted depth, 3-D shape, color, texture, and 2-D shape features.
Evaluated system performance on PH2, ISIC: Melanoma Project, and ATLAS datasets.

Main Results:

Inclusion of estimated depth and 3-D features significantly improved performance.
Achieved high classification scores: Sensitivity=96%, Specificity=97% (PH2 dataset); Sensitivity=98%, Specificity=99% (ATLAS dataset).
Demonstrated efficiency in diagnosing varied skin lesion types.

Conclusions:

The proposed computerized dermoscopy system effectively diagnoses skin lesions.
The integration of 3-D reconstruction and depth estimation enhances diagnostic capabilities.
The system shows promise for clinical application in skin cancer diagnosis.