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Related papers: Automatic Detection of Blue-White Veil and Related…

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We propose a novel approach to identify one of the most significant dermoscopic criteria in the diagnosis of Cutaneous Melanoma: the Blue-whitish structure. In this paper, we achieve this goal in a Multiple Instance Learning framework using…

Computer Vision and Pattern Recognition · Computer Science 2015-07-01 Ali Madooei , Mark S. Drew , Hossein Hajimirsadeghi

The incidence of malignant melanoma continues to increase worldwide. This cancer can strike at any age; it is one of the leading causes of loss of life in young persons. Since this cancer is visible on the skin, it is potentially detectable…

Computer Vision and Pattern Recognition · Computer Science 2016-01-29 Nabin K. Mishra , M. Emre Celebi

Melanoma, one of the deadliest types of skin cancer, accounts for thousands of fatalities globally. The bluish, blue-whitish, or blue-white veil (BWV) is a critical feature for diagnosing melanoma, yet research into detecting BWV in…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 M. A. Rasel , Sameem Abdul Kareem , Zhenli Kwan , Shin Shen Yong , Unaizah Obaidellah

Melanoma is the deadliest form of skin cancer. While curable with early detection, only highly trained specialists are capable of accurately recognizing the disease. As expertise is in limited supply, automated systems capable of…

Computer Vision and Pattern Recognition · Computer Science 2016-10-19 Noel Codella , Quoc-Bao Nguyen , Sharath Pankanti , David Gutman , Brian Helba , Allan Halpern , John R. Smith

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, computerized analysis of dermoscopy images has…

Computer Vision and Pattern Recognition · Computer Science 2010-11-13 M. Emre Celebi , Hitoshi Iyatomi , Gerald Schaefer , William V. Stoecker

Malignant melanoma has one of the most rapidly increasing incidences in the world and has a considerable mortality rate. Early diagnosis is particularly important since melanoma can be cured with prompt excision. Dermoscopy images play an…

Computer Vision and Pattern Recognition · Computer Science 2017-03-20 Lei Bi , Jinman Kim , Euijoon Ahn , Dagan Feng

Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has become an…

Computer Vision and Pattern Recognition · Computer Science 2013-12-31 M. Emre Celebi , Quan Wen , Sae Hwang , Hitoshi Iyatomi , Gerald Schaefer

The presence of certain clinical dermoscopic features within a skin lesion may indicate melanoma, and automatically detecting these features may lead to more quantitative and reproducible diagnoses. We reformulate the task of classifying…

Computer Vision and Pattern Recognition · Computer Science 2019-03-28 Jeremy Kawahara , Ghassan Hamarneh

Melanoma is a type of skin cancer with the most rapidly increasing incidence. Early detection of melanoma using dermoscopy images significantly increases patients' survival rate. However, accurately classifying skin lesions by eye,…

Computer Vision and Pattern Recognition · Computer Science 2019-02-14 Xiaoxiao Li , Junyan Wu , Eric Z. Chen , Hongda Jiang

An automated method to detect and analyze the melanoma is presented to improve diagnosis which will leads to the exact treatment. Image processing techniques such as segmentation, feature descriptors and classification models are involved…

Computer Vision and Pattern Recognition · Computer Science 2017-03-02 G Wiselin Jiji , P Johnson Durai Raj

Existing studies for automated melanoma diagnosis are based on single-time point images of lesions. However, melanocytic lesions de facto are progressively evolving and, moreover, benign lesions can progress into malignant melanoma.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-22 Zhen Yu , Jennifer Nguyen , Xiaojun Chang , John Kelly , Catriona Mclean , Lei Zhang , Victoria Mar , Zongyuan Ge

Skin cancer is the most common cancer worldwide, with melanoma being the deadliest form. Dermoscopy is a skin imaging modality that has shown an improvement in the diagnosis of skin cancer compared to visual examination without support. We…

Image and Video Processing · Electrical Eng. & Systems 2021-01-12 Josef Steppan , Sten Hanke

Melanoma, a malignant form of skin cancer is very threatening to life. Diagnosis of melanoma at an earlier stage is highly needed as it has a very high cure rate. Benign and malignant forms of skin cancer can be detected by analyzing the…

Computer Vision and Pattern Recognition · Computer Science 2017-03-14 P. Mirunalini , Aravindan Chandrabose , Vignesh Gokul , S. M. Jaisakthi

Skin cancer is one of the most common forms of cancer and its incidence is projected to rise over the next decade. Artificial intelligence is a viable solution to the issue of providing quality care to patients in areas lacking access to…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Nithin D Reddy

In this paper, a deep neural network based ensemble method is experimented for automatic identification of skin disease from dermoscopic images. The developed algorithm is applied on the task3 of the ISIC 2018 challenge dataset (Skin Lesion…

Computer Vision and Pattern Recognition · Computer Science 2018-07-25 Anabik Pal , Sounak Ray , Utpal Garain

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has…

Computer Vision and Pattern Recognition · Computer Science 2010-09-08 M. Emre Celebi , Hitoshi Iyatomi , Gerald Schaefer , William V. Stoecker

In this paper, we studied extensively on different deep learning based methods to detect melanoma and skin lesion cancers. Melanoma, a form of malignant skin cancer is very threatening to health. Proper diagnosis of melanoma at an earlier…

Computer Vision and Pattern Recognition · Computer Science 2019-01-31 Md Ashraful Alam Milton

In dermoscopic images, which allow visualization of surface skin structures not visible to the naked eye, lesion shape offers vital insights into skin diseases. In clinically practiced methods, asymmetric lesion shape is one of the criteria…

Computer Vision and Pattern Recognition · Computer Science 2025-07-24 M. A. Rasel , Sameem Abdul Kareem , Zhenli Kwan , Nik Aimee Azizah Faheem , Winn Hui Han , Rebecca Kai Jan Choong , Shin Shen Yong , Unaizah Obaidellah

Skin cancer is the most common cancer in the existing world constituting one-third of the cancer cases. Benign skin cancers are not fatal, can be cured with proper medication. But it is not the same as the malignant skin cancers. In the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-21 Dusa Sai Charan , Hemanth Nadipineni , Subin Sahayam , Umarani Jayaraman

Early diagnosis of melanoma, which can save thousands of lives, relies heavily on the analysis of dermoscopic images. One crucial diagnostic criterion is the identification of unusual pigment network (PN). However, distinguishing between…

Image and Video Processing · Electrical Eng. & Systems 2026-01-21 M. A. Rasel , Sameem Abdul Kareem , Unaizah Obaidellah
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