Skin of color in dermatopathology: does color matter?

Williams, Kyle; Wondimu, Bitania; Ajayi, Ayodeji M.; Sokumbi, Olayemi

doi:10.1016/j.humpath.2023.04.012

Cited by 3 publications

(3 citation statements)

References 91 publications

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“…SoC continues to be an important topic in dermatology and dermatopathology, and the increasingly diverse population only adds to the importance of further exploration and study of this subject. Over the past few decades, increasing efforts have been made to study dermatologic conditions in patients of color, who have historically been underrepresented in the literature 15,16 . These efforts should include our microscopic assessments in diagnosing disease in SoC patients.…”

Section: Figurementioning

confidence: 99%

“…Over the past few decades, increasing efforts have been made to study dermatologic conditions in patients of color, who have historically been underrepresented in the literature. 15,16 These efforts should include our microscopic assessments in diagnosing disease in SoC patients. Moving forward, we should continue to critically examine the inequities embedded in the educational curriculum, medical literature, and workforce demographics while actively seeking opportunities to advance the understanding of dermatopathology in SoC.…”

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confidence: 99%

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What can we learn about skin of color in dermatopathology?

Wondimu,

Sokumbi

2024

Int J Dermatology

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As the US population becomes increasingly diverse, more patients of color seek dermatologic care and often have concerns that are unique to their skin color. Therefore, it is critically important that the knowledge gap in skin of color dermatology be urgently addressed. In addition to addressing the clinical gap in recognizing dermatologic disease in patients of color, the role of dermatopathology in bridging this gap remains unaddressed. Given the impact that skin color can have on the presentation and subsequent management of dermatologic diseases, understanding the current knowledge of the unique structural and histologic characteristics in skin of color may help give us insight on the role skin color should play in histopathologic diagnosis. In this paper, we bring insights into the role dermatopathology plays in addressing our knowledge of cutaneous disease in patients with skin of color. After we highlight issues to consider, we can begin to identify gaps in knowledge that still exist within dermatopathology that need to be addressed to ensure patients of all backgrounds receive equitable dermatologic care.

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Section: Figurementioning

confidence: 99%

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confidence: 99%

What can we learn about skin of color in dermatopathology?

Wondimu,

Sokumbi

2024

Int J Dermatology

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“…Warna kulit bergantung pada beberapa faktor biologis dan lingkungan termasuk genetika, paparan sinar UV, dan keberadaan kromofor lain di kulit [14]. Jerawat dengan peradangan dominan berwarna merah [15] dapat menjadi indikasi untuk mendeteksi warna merah sebagai langkah praproses data citra mengingat pentingnya peranan warna kulit [16].…”

Section: Red Color Detectionunclassified

Deteksi dan Visualisasi Berbasis Computer Vision untuk Analisis Gambar Dermatologis dalam Penilaian Keparahan Jerawat

Watef,

Mahananto

2024

ilkomnika

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Jerawat (acne vulgaris) merupakan salah satu penyakit dermatologis paling umum dalam kehidupan sehari-hari utamanya pada masa remaja. Lebih dari 80% orang mengalami permasalahan jerawat pada masa remajanya. Dalam menilai tingkat keparahan jerawat perlu dilakukan penilaian secara obyektif dengan prosedur perawatan medis. Penilaian jerawat secara tradisional umumnya dilakukan oleh dokter kulit dengan menentukan jenis dan jumlah lesi dimana sering kali penilaian ini memakan waktu dan mengganggu efisiensi dalam penilaian jerawat. Kerangka kerja ini menguji praproses gambar dengan menggunakan metode red color detection, threshold, enhanced image dan penggabungan enhanced image dan red color detection dalam klasifikasi gambar jerawat. Selain itu beberapa metode klasifikasi diterapkan untuk menguji data masukan dari penerapan praproses yang dilakukan. Adapun metode klasifikasi yang digunakan adalah NN, SVM, KNN dan VGG16 selain itu penerapan fitur ekstraksi juga diterapkan. Penggunaan fitur ekstraksi menggunakan VGG16 dilanjutkan dengan Principal Component Analysis (PCA) dimana penerapan PCA dilakukan untuk meningkatkan efisiensi komputasional. Dengan data masukan enhanced image yang kemudian diklasifikasikan menggunakan VGG16 memberikan hasil akurasi terbaik mencapai 69% . Kedepannya metode praproses enhanced image dapat diterapkan pada kumpulan data yang berbeda dikarenakan tidak dipungkiri bahwasanya kumpulan data ACNE04 memiliki banyak noise pada citra.

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Emerging concepts in dermatopathology: a special issue of neoplastic, inflammatory, and special-site dermatopathology and important practice considerations

Lehman

Erickson

2023

Human Pathology

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Skin of color in dermatopathology: does color matter?

Cited by 3 publications

References 91 publications

What can we learn about skin of color in dermatopathology?

What can we learn about skin of color in dermatopathology?

Deteksi dan Visualisasi Berbasis Computer Vision untuk Analisis Gambar Dermatologis dalam Penilaian Keparahan Jerawat

Emerging concepts in dermatopathology: a special issue of neoplastic, inflammatory, and special-site dermatopathology and important practice considerations

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