no code implementations • 8 Nov 2021 • Max Torop, Sandesh Ghimire, Wenqian Liu, Dana H. Brooks, Octavia Camps, Milind Rajadhyaksha, Jennifer Dy, Kivanc Kose
There are limited works showing the efficacy of unsupervised Out-of-Distribution (OOD) methods on complex medical data.
no code implementations • 7 Aug 2020 • Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, Liam Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen Dusza, Pascale Guitera, David Gutman, Allan Halpern, Harald Kittler, Kivanc Kose, Steve Langer, Konstantinos Lioprys, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer
Prior skin image datasets have not addressed patient-level information obtained from multiple skin lesions from the same patient.
no code implementations • 3 Jan 2020 • Kivanc Kose, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer Dy, Dana H. Brooks, Milind Rajadhyaksha
We trained and tested our model on non-overlapping partitions of 117 reflectance confocal microscopy (RCM) mosaics of melanocytic lesions, an extensive dataset for this application, collected at four clinics in the US, and two in Italy.
no code implementations • 5 Feb 2018 • Alican Bozkurt, Kivanc Kose, Christi Alessi-Fox, Melissa Gill, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha
We describe a new multiresolution "nested encoder-decoder" convolutional network architecture and use it to annotate morphological patterns in reflectance confocal microscopy (RCM) images of human skin for aiding cancer diagnosis.
no code implementations • 1 Dec 2017 • Alican Bozkurt, Kivanc Kose, Jaume Coll-Font, Christi Alessi-Fox, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha
Reflectance confocal microscopy (RCM) is an effective, non-invasive pre-screening tool for skin cancer diagnosis, but it requires extensive training and experience to assess accurately.
no code implementations • 10 Feb 2014 • Mohammad Tofighi, Kivanc Kose, A. Enis Cetin
A new signal processing framework based on making orthogonal Projections onto the Epigraph Set of a Convex cost function (PESC) is developed.