Two Novel Filters for Cleaning Medical Images from Hair in Skin Cancer Diagnosis

Berceste Yılmaz; Amira Tandiroviç Gürsel

Makale detayları

Two Novel Filters for Cleaning Medical Images from Hair in Skin Cancer Diagnosis

Yazarlar:

Berceste Yılmaz | Amira Tandiroviç Gürsel

Yayıncı:

Cukurova University

Ana Başlıklar:

Biyomedikal Mühendisliği (Diğer) | Elektrik Mühendisliği (Diğer)

Dergi:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 4, pp.1139-1149

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307444

pISSN:

2757-9255

Anahtar kelimeler:

Özet:

 Low accessibility of traditional dermoscopic devices, since they are still expensive, as well as the lack of professional experience of expertized physicians, are the most obstructive factors in early diagnosis of skin cancer. Nevertheless, previous studies in this field have focused mainly on high-quality dermoscopic images rather than their digital counterparts, which are more economical and practical as they require less expertise during capturing. However, their exploitation in diagnosis is challenging due to the high presence of noise, resulting in an exhausting filtering process. One of the main difficulties regarding filtering is hair cleaning due to the wide variations in colour, shape, and thickness. Hair cleaning requires a comprehensive approach considering stringent data conservation, which is crucial in diagnosis as it may sabotage the diagnosis itself. The paper outlines two novel filters designed for this purpose and examines their performance with respect to two filters, which are extensively used in this field.

 Low accessibility of traditional dermoscopic devices, since they are still expensive, as well as the lack of professional experience of expertized physicians, are the most obstructive factors in early diagnosis of skin cancer. Nevertheless, previous studies in this field have focused mainly on high-quality dermoscopic images rather than their digital counterparts, which are more economical and practical as they require less expertise during capturing. However, their exploitation in diagnosis is challenging due to the high presence of noise, resulting in an exhausting filtering process. One of the main difficulties regarding filtering is hair cleaning due to the wide variations in colour, shape, and thickness. Hair cleaning requires a comprehensive approach considering stringent data conservation, which is crucial in diagnosis as it may sabotage the diagnosis itself. The paper outlines two novel filters designed for this purpose and examines their performance with respect to two filters, which are extensively used in this field.

 Low accessibility of traditional dermoscopic devices, since they are still expensive, as well as the lack of professional experience of expertized physicians, are the most obstructive factors in early diagnosis of skin cancer. Nevertheless, previous studies in this field have focused mainly on high-quality dermoscopic images rather than their digital counterparts, which are more economical and practical as they require less expertise during capturing. However, their exploitation in diagnosis is challenging due to the high presence of noise, resulting in an exhausting filtering process. One of the main difficulties regarding filtering is hair cleaning due to the wide variations in colour, shape, and thickness. Hair cleaning requires a comprehensive approach considering stringent data conservation, which is crucial in diagnosis as it may sabotage the diagnosis itself. The paper outlines two novel filters designed for this purpose and examines their performance with respect to two filters, which are extensively used in this field.

 Geleneksel dermoskopik cihazların pahalı olması nedeniyle ulaşılabilirliğinin düşük olması ve uzman hekimlerin mesleki deneyimlerinin yeterli olmayışı cilt kanserinin erken teşhisinde en engelleyici faktörlerdir. Ancak bu alanda daha önce yapılan çalışmalar, çekim sırasında daha az uzmanlık gerektirdiğinden daha ekonomik ve pratik olan dijital benzerlerinden ziyade ağırlıklı olarak yüksek kaliteli dermoskopik görüntülere odaklanmıştır. Bununla birlikte, gürültünün yüksek varlığı nedeniyle tanıda bunların kullanımı zordur ve bu da zahmetli bir filtreleme işlemine neden olur. Filtrelemeyle ilgili en büyük zorluklardan biri, renk, şekil ve kalınlıktaki büyük farklılıklar nedeniyle kılın temizlenmesidir. Kıl temizliği, teşhisin kendisini sabote edebileceğinden teşhis için çok önemli olan verilerin sıkı bir şekilde korunmasını dikkate alan kapsamlı bir yaklaşım gerektirir. Makalede bu amaç için tasarlanan iki yeni filtrenin ana hatları verilmekte ve bu alanda yaygın olarak kullanılan iki filtreye göre performansları incelenmektedir.

Makale detayları

Two Novel Filters for Cleaning Medical Images from Hair in Skin Cancer Diagnosis

Yazarlar:

Berceste Yılmaz | Amira Tandiroviç Gürsel

Yayıncı:

Cukurova University

Ana Başlıklar:

Biyomedikal Mühendisliği (Diğer) | Elektrik Mühendisliği (Diğer)

Dergi:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 4, pp.1139-1149

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307444

pISSN:

2757-9255

Skin cancer

Hair removal

Digital image

FiltersCilt kanseri

Kıl temizleme

Dijital görüntü

Filtreler

Sayı

Makale detayları

Yazarlar: Berceste Yılmaz | Amira Tandiroviç Gürsel

Yayıncı: Cukurova University

Ana Başlıklar: Biyomedikal Mühendisliği (Diğer) | Elektrik Mühendisliği (Diğer)

Dergi: Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 4, pp.1139-1149

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001307444

pISSN: 2757-9255

Sayı

Yazarlar:

Berceste Yılmaz | Amira Tandiroviç Gürsel

Yayıncı:

Cukurova University

Ana Başlıklar:

Biyomedikal Mühendisliği (Diğer) | Elektrik Mühendisliği (Diğer)

Dergi:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 4, pp.1139-1149

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307444

pISSN:

2757-9255