Search Results - "Emre Celebi, M"

Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images by Marchetti, Michael A., Codella, Noel C.F., Dusza, Stephen W., Gutman, David A., Helba, Brian, Kalloo, Aadi, Mishra, Nabin, Carrera, Cristina, Celebi, M. Emre, DeFazio, Jennifer L., Jaimes, Natalia, Marghoob, Ashfaq A., Quigley, Elizabeth, Scope, Alon, Yélamos, Oriol, Halpern, Allan C.

“…Computer vision may aid in melanoma detection. We sought to compare melanoma diagnostic accuracy of computer algorithms to dermatologists using dermoscopic…”
Get full text

A comparative study of efficient initialization methods for the k-means clustering algorithm by Celebi, M. Emre, Kingravi, Hassan A., Vela, Patricio A.

“…► K-means is the most widely used partitional clustering algorithm. ► k-means is highly sensitive to the selection of the initial centers. ► We present an…”
Get full text

Improving Dermoscopy Image Classification Using Color Constancy by Barata, Catarina, Emre Celebi, M., Marques, Jorge S.

“…Robustness is one of the most important characteristics of computer-aided diagnosis systems designed for dermoscopy images. However, it is difficult to ensure…”
Get full text

Lesion border detection in dermoscopy images using ensembles of thresholding methods by Emre Celebi, M, Wen, Quan, Hwang, Sae, Iyatomi, Hitoshi, Schaefer, Gerald

“…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…”
Get more information

An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma by Ali Shah, Asghar, Shaker, Ayesha Sher Ali, Jabbar, Sohail, Abbas, Qaisar, Al-Balawi, Talal Saad, Celebi, M. Emre

“…When the mutation affects the melanocytes of the body, a condition called melanoma results which is one of the deadliest skin cancers. Early detection of…”
Get full text

Colour and contrast enhancement for improved skin lesion segmentation by Schaefer, Gerald, Rajab, Maher I, Emre Celebi, M, Iyatomi, Hitoshi

“…Abstract Accurate extraction of lesion borders is a critical step in analysing dermoscopic skin lesion images. In this paper, we consider the problems of poor…”
Get full text

Automatic Face Recognition System Using Deep Convolutional Mixer Architecture and AdaBoost Classifier by Abbas, Qaisar, Albalawi, Talal Saad, Perumal, Ganeshkumar, Celebi, M. Emre

“…In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face…”
Get full text

A methodological approach to the classification of dermoscopy images by Celebi, M. Emre, Kingravi, Hassan A, Uddin, Bakhtiyar, Iyatomi, Hitoshi, Aslandogan, Y. Alp, Stoecker, William V, Moss, Randy H

“…Abstract In this paper a methodological approach to the classification of pigmented skin lesions in dermoscopy images is presented. First, automatic border…”
Get full text

Border detection in dermoscopy images using statistical region merging by Celebi, M Emre, Kingravi, Hassan A, Iyatomi, Hitoshi, Aslandogan, Y Alp, Stoecker, William V, Moss, Randy H, Malters, Joseph M, Grichnik, James M, Marghoob, Ashfaq A, Rabinovitz, Harold S, Menzies, Scott W

“…As a result of advances in skin imaging technology and the development of suitable image processing techniques, during the last decade, there has been a…”
Get more information

Melanoma recognition framework based on expert definition of ABCD for dermoscopic images by Abbas, Qaisar, Emre Celebi, M, Garcia, Irene Fondón, Ahmad, Waqar

“…Melanoma Recognition based on clinical ABCD rule is widely used for clinical diagnosis of pigmented skin lesions in dermoscopy images. However, the current…”
Get more information

A feature-preserving hair removal algorithm for dermoscopy images by Abbas, Qaisar, Garcia, Irene Fondón, Emre Celebi, M, Ahmad, Waqar

“…Accurate segmentation and repair of hair-occluded information from dermoscopy images are challenging tasks for computer-aided detection (CAD) of melanoma…”
Get more information

Lesion border detection in dermoscopy images using dynamic programming by Abbas, Qaisar, Celebi, M Emre, Fondón García, Irene, Rashid, Muhammad

“…Automated border detection is an important and challenging task in the computerized analysis of dermoscopy images. However, dermoscopic images often contain…”
Get more information

Social Behavioral Phenotyping of Drosophila With a 2D-3D Hybrid CNN Framework by Jiang, Ziping, Chazot, Paul L., Celebi, M. Emre, Crookes, Danny, Jiang, Richard

“…Behavioural phenotyping of drosophila is an important means in biological and medical research to identify the genetic, pathologic, or psychological impact on…”
Get full text

Dermoscopy Image Analysis: Overview and Future Directions by Celebi, M. Emre, Codella, Noel, Halpern, Allan

“…Dermoscopy is a non-invasive skin imaging technique that permits visualization of features of pigmented melanocytic neoplasms that are not discernable by…”
Get full text

Computer-aided pattern classification system for dermoscopy images by Abbas, Qaisar, Celebi, M Emre, Fondón, Irene

“…Computer-aided pattern classification of melanoma and other pigmented skin lesions is one of the most important tasks for clinical diagnosis. To differentiate…”
Get more information

Unsupervised border detection in dermoscopy images by Emre Celebi, M, Alp Aslandogan, Y, Stoecker, William V, Iyatomi, Hitoshi, Oka, Hiroshi, Chen, Xiaohe

“…As a result of the advances in skin imaging technology and the development of suitable image processing techniques, during the last decade, there has been a…”
Get more information

A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images by Abbas, Qaisar, Garcia, Irene Fondón, Emre Celebi, M, Ahmad, Waqar, Mushtaq, Qaisar

“…Dermoscopy images often suffer from low contrast caused by different light conditions, which reduces the accuracy of lesion border detection. Accordingly for…”
Get more information

Computer-Based Classification of Dermoscopy Images of Melanocytic Lesions on Acral Volar Skin by Iyatomi, Hitoshi, Oka, Hiroshi, Celebi, M. Emre, Ogawa, Koichi, Argenziano, Giuseppe, Soyer, H. Peter, Koga, Hiroshi, Saida, Toshiaki, Ohara, Kuniaki, Tanaka, Masaru

“…We describe a fully automated system for the classification of acral volar melanomas. We used a total of 213 acral dermoscopy images (176 nevi and 37…”
Get full text

Automatic detection of blue-white veil and related structures in dermoscopy images by Celebi, M. Emre, Iyatomi, Hitoshi, Stoecker, William V, Moss, Randy H, Rabinovitz, Harold S, Argenziano, Giuseppe, Soyer, H. Peter

“…Abstract Dermoscopy is a non-invasive skin imaging technique, which permits visualization of features of pigmented melanocytic neoplasms that are not…”
Get full text

A Survey of Feature Extraction in Dermoscopy Image Analysis of Skin Cancer by Barata, Catarina, Celebi, M. Emre, Marques, Jorge S.

“…Dermoscopy image analysis (DIA) is a growing field, with works being published every week. This makes it difficult not only to keep track of all the…”
Get full text