all AI news
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows. (arXiv:2208.04639v2 [cs.CV] UPDATED)
Aug. 11, 2022, 1:12 a.m. | M.M. Amaan Valiuddin, Christiaan G.A. Viviers, Ruud J.G. van Sloun, Peter H.N. de With, Fons van der Sommen
cs.CV updates on arXiv.org arxiv.org
Melanoma is a serious form of skin cancer with high mortality rate at later
stages. Fortunately, when detected early, the prognosis of melanoma is
promising and malignant melanoma incidence rates are relatively low. As a
result, datasets are heavily imbalanced which complicates training current
state-of-the-art supervised classification AI models. We propose to use
generative models to learn the benign data distribution and detect
Out-of-Distribution (OOD) malignant images through density estimation.
Normalizing Flows (NFs) are ideal candidates for OOD detection due …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Data Architect
@ Western Digital | San Jose, CA, United States
Senior Data Scientist GenAI (m/w/d)
@ Deutsche Telekom | Bonn, Deutschland
Senior Data Engineer, Telco (Remote)
@ Lightci | Toronto, Ontario
Consultant Data Architect/Engineer H/F - Innovative Tech
@ Devoteam | Lyon, France
(Senior) ML Engineer / Software Engineer Machine Learning & AI (m/f/x) onsite or remote (in Germany or Austria)
@ Scalable GmbH | Wien, Germany