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Related Concept Videos

Skin Cancer01:30

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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Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
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Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
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Cancer Therapies02:49

Cancer Therapies

Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
Cancer Therapies02:49

Cancer Therapies

Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
Tumor Immunotherapy01:27

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.

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Related Experiment Video

Updated: Jul 17, 2026

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
07:41

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

Published on: March 8, 2022

A new melanoma diagnosis active support system.

R A Fiorini1, G Dacquino, G Laguteta

  • 1Department of Biomedical Engineering, Politecnico di Milano, Lombardia, Italy.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary

This study introduces a new Melanoma Diagnosis Active Support System (MDASS) for early and accurate melanoma detection. The system effectively classifies disease stages using advanced geometrical analysis of dermatoscopic images.

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Last Updated: Jul 17, 2026

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Area of Science:

  • Medical Informatics
  • Computational Dermatology
  • Image Analysis

Background:

  • Automated classification of dermatoscopic parameters is crucial for melanoma diagnosis.
  • Characterizing elementary geometric shapes robustly and effectively is a computationally intensive challenge.
  • Existing methods require sophisticated algorithms for invariant shape and texture description.

Purpose of the Study:

  • To present the operational performance of a new Melanoma Diagnosis Active Support System (MDASS) prototype.
  • To demonstrate MDASS's capability in automatically capturing, discriminating, and quantifying melanoma disease stages.
  • To validate the system's effectiveness in early diagnosis of melanocytic lesions.

Main Methods:

  • MDASS utilizes GEOGINE (GEOmetrical enGINE), an Ontological Model Generator (OMG).
  • GEOGINE employs n-D Tensor Moment Invariants for robust shape and texture description.
  • Automated classification involves Size Descriptors and Intrinsic Descriptors of dermatoscopic images.

Main Results:

  • MDASS demonstrated a robust disease classification procedure.
  • The system successfully distilled minimal reference grids for pathological cases.
  • Effective early diagnosis of melanocytic lesions was achieved, validated by clinical data.

Conclusions:

  • MDASS shows significant potential for improving the accuracy and efficiency of melanoma diagnosis.
  • The system's performance, error analysis, and computational complexity were thoroughly evaluated.
  • MDASS offers a reliable tool for the early detection and staging of melanoma.